{"id":"W2035794422","doi":"10.2202/1557-4679.1096","title":"Properties of the Projected Length of the Curve (PLC) and Area Swept out by the Curve (ASC) Indices for the Receiver Operating Characteristic (SROC) Curve","year":2009,"lang":"en","type":"article","venue":"The International Journal of Biostatistics","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Receiver operating characteristic; Area under the curve; Context (archaeology); Statistics; Diagnostic odds ratio; Mathematics; Area under curve; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.1011933,0.003254146,0.003889707,0.01177397,0.001167953,0.006439872,0.003558175,0.00475684,0.002504288],"category_scores_gemma":[0.3788249,0.001371006,0.00557503,0.008364961,0.007458225,0.01091648,0.005697233,0.005689864,0.001526528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003055577,"about_ca_system_score_gemma":0.002277352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217904,"about_ca_topic_score_gemma":0.000746789,"domain_scores_codex":[0.9383896,0.03468303,0.00568392,0.007821195,0.0124116,0.001010628],"domain_scores_gemma":[0.5201442,0.4029532,0.03321902,0.02268332,0.01922973,0.001770544],"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":[0.00151485,0.0002587195,0.1210083,0.004523489,0.005337829,0.001011551,0.002964334,0.2178339,0.003587022,0.2065846,0.01489393,0.4204814],"study_design_scores_gemma":[0.0002956578,0.002258663,0.06482267,0.001848923,0.001489167,0.004957682,0.0009411267,0.4818861,0.003220164,0.4051426,0.03210158,0.001035634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02561075,0.01892097,0.9441921,0.002295301,0.0003370508,0.0007034155,0.001286944,0.001147282,0.005506272],"genre_scores_gemma":[0.4896809,0.01154503,0.4842684,0.002436298,0.001715924,0.003712759,0.003227223,0.001289325,0.002124192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1011933,"threshold_uncertainty_score":0.5351678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07648062217362388,"score_gpt":0.3280679022019715,"score_spread":0.2515872800283476,"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."}}