{"id":"W4394258873","doi":"10.6084/m9.figshare.23722278","title":"Additional file 3 of Aligning intuition and theory: a novel approach to identifying the determinants of behaviours necessary to support implementation of evidence into practice","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Intuition; Computer science; Data science; Psychology; Cognitive 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006317462,0.001218116,0.001447122,0.003554448,0.001109786,0.002875333,0.003006665,0.002607706,0.4502301],"category_scores_gemma":[0.06619775,0.0008516321,0.001850696,0.005758464,0.0005565616,0.002413538,0.002321369,0.002290623,0.07987839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002512998,"about_ca_system_score_gemma":0.004404941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02055021,"about_ca_topic_score_gemma":0.04673104,"domain_scores_codex":[0.9969339,0.0009348126,0.0007374285,0.0006538338,0.000476694,0.000263267],"domain_scores_gemma":[0.9504666,0.03650285,0.003391416,0.003469635,0.005388835,0.0007806045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002906829,0.00009894981,0.003947539,0.0045744,0.00009360948,0.0000250323,0.000117975,0.0004733746,0.00003713736,0.001376577,0.9847752,0.004189515],"study_design_scores_gemma":[0.005530576,0.000184353,0.02811689,0.005272101,0.000424716,0.0001142046,0.0006385371,0.001513297,0.000363587,0.009898374,0.9478197,0.0001237242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001038578,0.00001465689,0.00008426319,0.00006093463,0.000007014226,0.00005387092,0.9993029,0.00003890404,0.0003337524],"genre_scores_gemma":[0.002519017,0.00005694421,0.001763475,0.0001814036,0.00001937037,0.002504869,0.9907457,0.0001024354,0.00210688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4502301,"threshold_uncertainty_score":0.7841801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5074891195682348,"score_gpt":0.5898946231140129,"score_spread":0.08240550354577802,"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."}}