{"id":"W6901748441","doi":"10.6084/m9.figshare.12010668","title":"Additional file 1 of 30+ years of media analysis of relevance to chronic disease: a scoping review","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Relevance (law); Focus (optics); Key (lock); Term (time)","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":[0.006612658,0.001750311,0.003429932,0.01515314,0.001162608,0.003041724,0.002186165,0.001825506,0.8459865],"category_scores_gemma":[0.09301081,0.0009968085,0.003390993,0.01874339,0.0004681234,0.004868665,0.002389358,0.001190259,0.08704543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003595044,"about_ca_system_score_gemma":0.006617518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009386155,"about_ca_topic_score_gemma":0.01734953,"domain_scores_codex":[0.9955708,0.0007995177,0.002089174,0.0005126203,0.0007005817,0.0003273466],"domain_scores_gemma":[0.8898239,0.08116933,0.01297039,0.002247691,0.01262613,0.001162608],"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":[0.001484392,0.00008785241,0.001544736,0.2235881,0.0004836493,0.0001054293,0.0002437279,0.0003230167,0.000174955,0.001489216,0.7525956,0.01787928],"study_design_scores_gemma":[0.01136714,0.0005160525,0.0260949,0.1671017,0.002818458,0.0005709919,0.001003399,0.000855165,0.0006666351,0.008711094,0.7800053,0.0002890924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000130912,0.0002907304,0.000141737,0.0001934218,0.00004518111,0.0006843338,0.9973,0.0001071933,0.001106562],"genre_scores_gemma":[0.009767758,0.003619638,0.006605125,0.001853445,0.0004450196,0.0403204,0.907636,0.0007091734,0.02904338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8459865,"threshold_uncertainty_score":0.2196815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274075788651452,"score_gpt":0.4632926193222313,"score_spread":0.3358850404570861,"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."}}