{"id":"W6958204250","doi":"10.6084/m9.figshare.12441566.v1","title":"Additional file 5 of Developing a framework to inform scale-up success for population health interventions: a critical interpretive synthesis of the literature","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa; University of Calgary; Government of New Brunswick; University of New Brunswick","funders":"","keywords":"Population; Population health; Visualization; Qualitative research; Public health; Health professionals; MEDLINE","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":[0.016849,0.001580041,0.00166081,0.009260188,0.001788938,0.003352148,0.003396859,0.001457992,0.7958626],"category_scores_gemma":[0.1668139,0.0006784197,0.002156407,0.01116103,0.0006388382,0.004115132,0.002486255,0.001698252,0.0428447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003187096,"about_ca_system_score_gemma":0.008663904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399645,"about_ca_topic_score_gemma":0.02557531,"domain_scores_codex":[0.9953484,0.002050185,0.0008596258,0.0005405422,0.0008891689,0.0003119912],"domain_scores_gemma":[0.7621903,0.2106851,0.005087336,0.004020545,0.01707144,0.0009453329],"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":[0.0004893161,0.00007730115,0.001910781,0.02787826,0.0001630527,0.00009339286,0.001522633,0.0009798401,0.0001073964,0.00727172,0.9327414,0.02676477],"study_design_scores_gemma":[0.004068832,0.0003101457,0.01781154,0.03825951,0.001054187,0.0002465708,0.007776215,0.004227528,0.0009235421,0.0554015,0.8696135,0.0003070277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006257464,0.0001302553,0.00304346,0.001230397,0.0001475815,0.001861511,0.9886104,0.0005762047,0.003774324],"genre_scores_gemma":[0.05310338,0.00148086,0.1642548,0.003365524,0.0005723675,0.07270465,0.6702925,0.003098699,0.03112722],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7958626,"threshold_uncertainty_score":0.2911773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939400675366261,"score_gpt":0.3808540122971685,"score_spread":0.3314600055435059,"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."}}