{"id":"W4254468873","doi":"10.15200/winn.144483.31170","title":"Catching Cancer","year":2015,"lang":"en","type":"dataset","venue":"The Winnower","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Marsupial; Population; Biology; Disease; Evolutionary biology; Ecology; Genealogy; Environmental ethics; Zoology; Demography; History; Sociology; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000699117,0.0007165133,0.001072995,0.002124042,0.0006509028,0.001267524,0.001801129,0.00139905,0.04656617],"category_scores_gemma":[0.008869,0.0003461133,0.001539519,0.004409533,0.0001912496,0.0009297467,0.001407953,0.001335644,0.01408865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647592,"about_ca_system_score_gemma":0.002510792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05684043,"about_ca_topic_score_gemma":0.09356648,"domain_scores_codex":[0.9989141,0.0001349501,0.0002383513,0.00034655,0.0002089334,0.0001570044],"domain_scores_gemma":[0.997244,0.0005869123,0.0006150228,0.0003494946,0.0009511788,0.0002534918],"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":[0.0004717802,0.00002862427,0.02186727,0.006139046,0.0004001416,0.00007991476,0.00006572317,0.0003991682,0.0001729115,0.001013339,0.9499958,0.01936635],"study_design_scores_gemma":[0.0006573889,0.00007720333,0.09721621,0.003639753,0.000708055,0.000418909,0.0002573206,0.0007296187,0.0004667605,0.001693984,0.8940674,0.00006737623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001274479,0.001404762,0.0001184762,0.0003767335,0.00008902497,0.00005171658,0.993479,0.0001007487,0.003105074],"genre_scores_gemma":[0.007790304,0.00147893,0.0006359762,0.0005734175,0.00007040108,0.00032067,0.9855912,0.00006325082,0.003475803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05684043,"threshold_uncertainty_score":0.1557793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030294567950885,"score_gpt":0.4455842026690613,"score_spread":0.3425547458739728,"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."}}