{"id":"W6902191998","doi":"10.6084/m9.figshare.28340807","title":"Additional file 2 of How integrated knowledge translation worked to reduce federal policy barriers to the implementation of medication abortion in Canada: a realist evaluation","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; Women's Health Research Institute","funders":"","keywords":"Government (linguistics); Abortion; Knowledge translation; Public policy; Context (archaeology)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009147611,0.0009412855,0.001348158,0.002905902,0.004116686,0.00343363,0.002642398,0.001860231,0.8521836],"category_scores_gemma":[0.132118,0.0007671202,0.001777318,0.004682896,0.0009884537,0.002278422,0.001879048,0.001919503,0.07180914],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01536247,"about_ca_system_score_gemma":0.04732422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5341523,"about_ca_topic_score_gemma":0.7084126,"domain_scores_codex":[0.9963247,0.001467324,0.0003782439,0.0003083147,0.001041394,0.0004799707],"domain_scores_gemma":[0.8458804,0.1200365,0.002551738,0.00361774,0.02443637,0.003477238],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006239825,0.0002218297,0.001382935,0.004398311,0.00005084569,0.00004530766,0.0005744029,0.0005433143,0.00002157931,0.001572994,0.9676102,0.02295429],"study_design_scores_gemma":[0.02778047,0.000716019,0.04147741,0.02039526,0.0007975088,0.0002349614,0.004874962,0.004130705,0.0007507952,0.01566725,0.8828145,0.0003601846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001232705,0.0001270243,0.0006946275,0.002026609,0.0001456017,0.003253485,0.9753512,0.0004905474,0.01667834],"genre_scores_gemma":[0.0984359,0.001834393,0.05526549,0.007997528,0.0003730967,0.1103617,0.5881428,0.002565205,0.1350239],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9908524,"threshold_uncertainty_score":0.9371824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05488458334866148,"score_gpt":0.379358646596415,"score_spread":0.3244740632477535,"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."}}