{"id":"W1928180478","doi":"","title":"The research collective: a model for developing timely, contextually relevant and dynamic approaches to research synthesis?","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Management science; Knowledge management; Triangulation; Process management; Data science; Systematic review; Computer science; Psychology; Engineering ethics; MEDLINE; Business; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.5778714,0.004544006,0.006505305,0.0231344,0.01977947,0.04908341,0.01328574,0.02252845,0.009160836],"category_scores_gemma":[0.4764856,0.004206734,0.006141752,0.01455609,0.06929047,0.07639126,0.03532277,0.01783521,0.003643886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04153729,"about_ca_system_score_gemma":0.1335346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245341,"about_ca_topic_score_gemma":0.01748822,"domain_scores_codex":[0.3661595,0.5673512,0.01891602,0.01799417,0.02445427,0.005124774],"domain_scores_gemma":[0.3751906,0.4956876,0.02241117,0.05476446,0.03828439,0.01366172],"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":[0.0004039467,0.0002021207,0.001879068,0.005097763,0.0005818247,0.0004569213,0.08920959,0.002617555,0.0004576448,0.7439116,0.01573805,0.1394439],"study_design_scores_gemma":[0.000423884,0.0002907804,0.0004641686,0.006743727,0.0003577156,0.000247298,0.02588542,0.005131047,0.0005203491,0.8195698,0.1401472,0.0002188086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004830592,0.01062075,0.6064591,0.3209286,0.003732507,0.0081475,0.0002678297,0.0007318073,0.04428129],"genre_scores_gemma":[0.09553191,0.004099252,0.8666018,0.01230786,0.0008039623,0.01675494,0.0002018594,0.0003303198,0.003368136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4221286,"threshold_uncertainty_score":0.5205597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7910169743460724,"score_gpt":0.5366783620728309,"score_spread":0.2543386122732415,"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."}}