{"id":"W4382393838","doi":"10.5964/meth.10863","title":"The logics of and strategies to enhance generalization of mixed methods research findings","year":2023,"lang":"en","type":"article","venue":"Methodology","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Generalization; Context (archaeology); Computer science; Interpretation (philosophy); Management science; Artificial intelligence; Psychology; Epistemology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8022134,0.003056384,0.0039346,0.01756144,0.008776627,0.0229679,0.008003267,0.008698304,0.005269658],"category_scores_gemma":[0.7719488,0.004512405,0.005840085,0.01044149,0.04873557,0.0333201,0.03465139,0.01436572,0.001924302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01531771,"about_ca_system_score_gemma":0.03177744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788946,"about_ca_topic_score_gemma":0.002009104,"domain_scores_codex":[0.1119363,0.8223876,0.03219563,0.008752771,0.02321129,0.001516379],"domain_scores_gemma":[0.102227,0.7550038,0.0308625,0.08546739,0.02439832,0.00204111],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002507689,0.0001870024,0.002805199,0.005675783,0.00048321,0.0002516215,0.04122268,0.002610816,0.0008385855,0.7661972,0.003632922,0.1758443],"study_design_scores_gemma":[0.0003822915,0.0002817884,0.0008270177,0.008765155,0.0002515768,0.0003471117,0.007286596,0.008423394,0.002739739,0.9347352,0.03577322,0.0001869166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003818431,0.002062074,0.9403061,0.03190607,0.0004001725,0.008282295,0.0001173518,0.0004583072,0.01264923],"genre_scores_gemma":[0.03820356,0.0006894445,0.9382828,0.002972306,0.0001431046,0.01916617,0.00003961532,0.00006906662,0.0004339386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1977866,"threshold_uncertainty_score":0.2439062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9500912121363324,"score_gpt":0.8438520423046605,"score_spread":0.1062391698316719,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}