{"id":"W4232653221","doi":"10.1037/e506762013-001","title":"Canadian Public Health Association 96th Annual Conference: Mapping the Future of Public Health: People, Places and Policies, September 18-21, 2005, Ottawa, Ontario","year":2005,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; Association (psychology); Geography; Political science; Economic growth; Public administration; Library science; Medicine; Psychology; Nursing; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00212746,0.00225187,0.00171192,0.00675499,0.002534047,0.00412862,0.003302691,0.00165435,0.02799582],"category_scores_gemma":[0.009145916,0.001351861,0.001671114,0.01861125,0.0007285911,0.001416339,0.002069813,0.002500074,0.02048356],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0250987,"about_ca_system_score_gemma":0.05053185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641374,"about_ca_topic_score_gemma":0.983457,"domain_scores_codex":[0.9985551,0.0001260027,0.0001621517,0.0002320357,0.0006304011,0.0002943033],"domain_scores_gemma":[0.9936186,0.0007504994,0.0003994331,0.0008795679,0.003380839,0.0009710655],"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":[0.00001559438,0.000006245219,0.00103291,0.0001768111,0.00001487818,0.000006697395,0.00002573267,0.0001816764,0.00001412925,0.0002269466,0.9963064,0.001991807],"study_design_scores_gemma":[0.0001051653,0.000007822709,0.03117329,0.0004450406,0.00005463821,0.00001751225,0.0002721151,0.0007384553,0.0002013013,0.0008007508,0.9661347,0.00004919008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001058006,0.00008817692,0.00003985026,0.0001882875,0.00003140072,0.000009060869,0.9988669,0.0001331715,0.0005373646],"genre_scores_gemma":[0.0005599794,0.0001561372,0.000342217,0.00004540282,0.000006419942,0.00004529349,0.9971288,0.00002967829,0.001686161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9749013,"threshold_uncertainty_score":0.1821046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126664170949509,"score_gpt":0.4095268184804211,"score_spread":0.2968604013854702,"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."}}