{"id":"W3106946610","doi":"10.1002/cl2.1125","title":"Guidance for producing a Campbell evidence and gap map","year":2020,"lang":"en","type":"article","venue":"Campbell Systematic Reviews","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"Campbell Scientific (Canada); Bruyère; McGill University","funders":"","keywords":"Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2486168,0.003954235,0.007217,0.04870752,0.005064045,0.02282155,0.0119106,0.01815021,0.1368346],"category_scores_gemma":[0.6597953,0.007275166,0.0123554,0.04524431,0.004142243,0.01796894,0.01682983,0.0141701,0.07258216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01688388,"about_ca_system_score_gemma":0.1359775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03373161,"about_ca_topic_score_gemma":0.04885826,"domain_scores_codex":[0.6693347,0.1590457,0.08205976,0.007781675,0.07786626,0.003911972],"domain_scores_gemma":[0.3023672,0.3249062,0.03628352,0.03037102,0.2954106,0.0106615],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002968701,0.0001895435,0.0004773346,0.03273591,0.0002600099,0.0006191808,0.005195092,0.00276971,0.0006312377,0.05404383,0.6797016,0.2230797],"study_design_scores_gemma":[0.0006899731,0.0001079585,0.0009652278,0.03877855,0.0002689379,0.0002875904,0.00133042,0.001854653,0.0008443011,0.05206245,0.9025449,0.0002650766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001695598,0.02303142,0.4467373,0.1091413,0.01352372,0.1565235,0.07580008,0.01887034,0.1546767],"genre_scores_gemma":[0.002137565,0.006237276,0.9181197,0.00422746,0.0007004009,0.05070249,0.007282847,0.001555217,0.009037031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7513832,"threshold_uncertainty_score":0.9265893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6249013113983265,"score_gpt":0.5522265316262569,"score_spread":0.0726747797720696,"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."}}