{"id":"W1901287595","doi":"10.18438/b8v30j","title":"Identifying Appropriate Quantitative Study Designs for Library Research","year":2007,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Social Development and Education Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Checklist; Computer science; Identification (biology); Selection (genetic algorithm); Process (computing); Management science; Key (lock); Research design; Operations research; Process management; Data science; Engineering management; Psychology; Engineering; Sociology; Artificial intelligence; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01054503,0.00009161523,0.0001073578,0.000507842,0.00185578,0.001520409,0.0003290836,0.00009260308,0.0004160898],"category_scores_gemma":[0.009807518,0.00009114738,0.00003147002,0.001526215,0.0002217179,0.2107813,0.0001024847,0.0003054206,0.0001057846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003054632,"about_ca_system_score_gemma":0.001348588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007973817,"about_ca_topic_score_gemma":0.000001454535,"domain_scores_codex":[0.9969952,0.001118982,0.0004156845,0.0001795265,0.0008430548,0.0004475613],"domain_scores_gemma":[0.9859263,0.01324969,0.000196322,0.0001363177,0.0002756008,0.0002157983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001402243,0.0002304331,0.01253927,0.0001162187,0.00003681553,0.000003572362,0.07521431,0.000003926159,0.00002443832,0.8667035,0.0148245,0.02890078],"study_design_scores_gemma":[0.0004083604,0.0002799041,0.03119005,0.0001122474,0.00001343566,4.084566e-7,0.3475158,0.0001100074,0.0005015749,0.003194717,0.6164954,0.0001781413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2438126,0.002268958,0.0924194,0.430557,0.002633436,0.01421694,0.00002813528,0.001150858,0.2129126],"genre_scores_gemma":[0.8744259,0.002767271,0.09659481,0.0177389,0.0007069915,0.0005157478,0.000100153,0.00003665166,0.007113528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8635088,"threshold_uncertainty_score":0.9995161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2786541968678544,"score_gpt":0.5015529105681765,"score_spread":0.2228987137003221,"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."}}