{"id":"W7137559196","doi":"","title":"Rapid Synthesis: Examining the Impact of Drop-in Centres","year":2015,"lang":"en","type":"other","venue":"MacSphere (McMaster University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Health and Long-Term Care; McMaster University","keywords":"Public health; Stakeholder; Health impact assessment; Health care; Healthcare system; Health data","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.116643,0.003133319,0.005608313,0.01114678,0.001216751,0.005705815,0.005593727,0.004651755,0.0797186],"category_scores_gemma":[0.4935849,0.001643887,0.01028729,0.01033488,0.002011624,0.004688498,0.00710101,0.005370179,0.006814173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0122955,"about_ca_system_score_gemma":0.0234152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02748937,"about_ca_topic_score_gemma":0.02753779,"domain_scores_codex":[0.7961449,0.1349728,0.02692355,0.007532713,0.0309289,0.00349712],"domain_scores_gemma":[0.6952627,0.2289497,0.01537129,0.02382779,0.03489378,0.001694694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00378133,0.000133311,0.003626196,0.5981636,0.01824233,0.0002245494,0.003692542,0.001914566,0.0004116698,0.01687694,0.2726358,0.08029711],"study_design_scores_gemma":[0.007226388,0.001293668,0.01709716,0.3516843,0.03360689,0.0001603833,0.006541462,0.002642382,0.002351774,0.02969822,0.5472434,0.0004539661],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.01271155,0.05901026,0.02877654,0.0304935,0.01293662,0.1221805,0.680577,0.00223829,0.05107567],"genre_scores_gemma":[0.2094993,0.03935711,0.1201007,0.03679999,0.002656555,0.4903321,0.08005247,0.001944364,0.01925742],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.116643,"threshold_uncertainty_score":0.6168743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773371644572564,"score_gpt":0.2209311984922676,"score_spread":0.193197482046542,"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."}}