{"id":"W7135410958","doi":"10.6084/m9.figshare.5405773","title":"Additional File 2:","year":2017,"lang":"","type":"article","venue":"Figshare","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mammography; Focus group; Focus (optics); Task force; Task (project management); Breast cancer; Point (geometry)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00263338,0.0008523348,0.001212666,0.002540663,0.001620507,0.00181557,0.001590809,0.001014521,0.9211826],"category_scores_gemma":[0.03441028,0.0007784721,0.0006553534,0.004852384,0.0002872208,0.00206203,0.00117712,0.001292746,0.2881438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799032,"about_ca_system_score_gemma":0.003941064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02568242,"about_ca_topic_score_gemma":0.03081358,"domain_scores_codex":[0.9991496,0.0002512192,0.0001356922,0.0001435313,0.0001927739,0.0001273324],"domain_scores_gemma":[0.9792006,0.0153185,0.0007156185,0.0008200742,0.003361725,0.0005834663],"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":[0.0001565959,0.00006081668,0.000616866,0.001375271,0.00001045165,0.00002831601,0.0001188496,0.0001182226,0.00001972614,0.0004135215,0.9890918,0.007989584],"study_design_scores_gemma":[0.003652519,0.0002359304,0.01902787,0.004422609,0.00008692067,0.0002963966,0.001905717,0.0006453783,0.0002655659,0.007418964,0.9619262,0.0001159449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002701659,0.00003179814,0.0002824893,0.000255174,0.00005006487,0.0006926737,0.9929036,0.000153264,0.00536072],"genre_scores_gemma":[0.009832029,0.0005021759,0.006905292,0.002069359,0.000170719,0.02370448,0.8967564,0.001104675,0.05895484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07881737,"threshold_uncertainty_score":0.1124233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2022275247707586,"score_gpt":0.3662743442566157,"score_spread":0.1640468194858571,"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."}}