{"id":"W4406443158","doi":"10.1016/s0246-0319(21)85983-x","title":"10.1016/s0246-0319(21)85983-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001044784,0.0001806524,0.000325765,0.00008141245,0.00007836567,0.00001584935,0.0001227629,0.00006359316,0.9978781],"category_scores_gemma":[0.00004870776,0.0001620709,0.00008372311,0.0002333675,0.000061591,0.00004933014,0.0000561869,0.0001457002,0.9960927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108063,"about_ca_system_score_gemma":0.00005228456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003499959,"about_ca_topic_score_gemma":4.399713e-7,"domain_scores_codex":[0.9988587,0.00002142079,0.0002003225,0.0003001185,0.0002698539,0.0003496162],"domain_scores_gemma":[0.9992529,0.00005209731,0.00002555781,0.0004139581,0.00005565041,0.0001997958],"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":[0.0002090463,0.00005625271,0.000006591636,0.00001765861,0.00006481296,0.00003832157,0.00003885695,0.00000333164,0.00003653143,1.156222e-7,0.8481739,0.1513546],"study_design_scores_gemma":[0.0007132986,0.000368694,0.001628754,0.00006666838,0.00006731715,0.00005285167,0.000003263717,0.0000159177,0.0002475282,0.000006362821,0.9966529,0.0001764419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004963346,0.0004735913,5.752535e-7,0.001577097,0.000003410302,0.000318469,0.00001409412,0.0001325405,0.9969839],"genre_scores_gemma":[0.0006593393,0.000002224021,0.0002766532,0.0001855182,0.0004384398,0.00005005908,0.00001221655,0.00004026117,0.9983353],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1511782,"threshold_uncertainty_score":0.6609061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008118554318789113,"score_gpt":0.2078321693953407,"score_spread":0.1997136150765516,"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."}}