{"id":"W3195967294","doi":"10.11575/sppp.v14i1.71625","title":"Evidence-Based and Community Engaged Pandemic Responses for Calgary","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Public relations; Psychological intervention; Focus group; CLARITY; Staffing; Stakeholder; Political science; Service delivery framework; Community engagement; Government (linguistics); Business; Service (business); Nursing; Medicine; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"commentary","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04529627,0.0007403723,0.0005190701,0.002555036,0.007274708,0.006943417,0.004828422,0.004978298,0.009933979],"category_scores_gemma":[0.0711175,0.0006243539,0.0008180813,0.002416395,0.003309652,0.003097565,0.01500941,0.006812815,0.0006798419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03478837,"about_ca_system_score_gemma":0.1998603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1037714,"about_ca_topic_score_gemma":0.298038,"domain_scores_codex":[0.977674,0.01494828,0.001479429,0.000583486,0.002596715,0.00271813],"domain_scores_gemma":[0.943939,0.02700851,0.003954456,0.002462095,0.007866289,0.01476953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004352359,0.003404567,0.01371674,0.01996715,0.0002931946,0.001253782,0.03143121,0.002343201,0.001074284,0.02315669,0.08274663,0.8201773],"study_design_scores_gemma":[0.001813855,0.003607597,0.1046228,0.1484933,0.0006876604,0.0004580541,0.1780936,0.002319373,0.002022852,0.03639891,0.5211748,0.0003072638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1263838,0.0669481,0.01081279,0.6834425,0.004819699,0.009948952,0.0009420372,0.0003177934,0.09638431],"genre_scores_gemma":[0.7181811,0.09333313,0.09186246,0.06656905,0.00123227,0.0135811,0.001136753,0.00009651858,0.01400765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8962287,"threshold_uncertainty_score":0.2524084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9543506031089509,"score_gpt":0.7928596960513341,"score_spread":0.1614909070576168,"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."}}