{"id":"W2605692486","doi":"10.4172/2155-6180.1000217","title":"Using Available Information in the Assessment of Diagnostic Pro tocols","year":2015,"lang":"en","type":"article","venue":"Journal of Biometrics & Biostatistics","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.1068991,0.001818744,0.002719191,0.007548502,0.0008630056,0.006519002,0.003201579,0.004918329,0.003017409],"category_scores_gemma":[0.4657987,0.001728117,0.00237179,0.004394747,0.004449993,0.01131522,0.004593253,0.003504964,0.0006156617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695564,"about_ca_system_score_gemma":0.001878702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319739,"about_ca_topic_score_gemma":0.001717507,"domain_scores_codex":[0.8670584,0.09713178,0.007983241,0.009729521,0.01683935,0.001257737],"domain_scores_gemma":[0.4478081,0.4734188,0.02710735,0.04078792,0.009752159,0.001125735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004974196,0.0009975533,0.2148442,0.003684429,0.005477943,0.001470408,0.002445134,0.1893619,0.005372503,0.1306629,0.002271269,0.4384375],"study_design_scores_gemma":[0.0005795988,0.003521714,0.1197084,0.001984913,0.003090228,0.002300237,0.0007465205,0.3736573,0.02504912,0.4585177,0.01001235,0.0008317704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1599565,0.004875997,0.8222344,0.002708823,0.0002351239,0.0004862361,0.002179964,0.0004023722,0.006920559],"genre_scores_gemma":[0.822791,0.001088193,0.1731904,0.0005414838,0.0002699,0.0004224992,0.0007249307,0.00007090236,0.0009008208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1068991,"threshold_uncertainty_score":0.5653433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.284352562379658,"score_gpt":0.4533224578812681,"score_spread":0.1689698955016101,"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."}}