{"id":"W6930353111","doi":"10.5281/zenodo.11088244","title":"Interactive figures for Lawlor-Forsyth et al. (2024)","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Truncation (statistics); RADIUS; Function (biology); Contrast (vision)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001358666,0.001444416,0.001301588,0.003010461,0.001672164,0.005173775,0.002759254,0.002360821,0.9016804],"category_scores_gemma":[0.01296283,0.0007866102,0.001533896,0.004052954,0.0004979757,0.004283951,0.00297113,0.002235589,0.696809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184901,"about_ca_system_score_gemma":0.002722571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205489,"about_ca_topic_score_gemma":0.01767994,"domain_scores_codex":[0.9991087,0.00008938996,0.00003748108,0.0001424384,0.0004794799,0.000142342],"domain_scores_gemma":[0.9950358,0.001057318,0.0001979329,0.0007659191,0.002152317,0.0007906058],"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":[0.00001390524,0.000006716496,0.00006870775,0.00009205273,0.000004497877,0.00001253021,0.00000897129,0.00008088558,0.00005158551,0.0006526685,0.9945314,0.004476018],"study_design_scores_gemma":[0.00002637227,0.000003206302,0.0004718999,0.00007459395,0.000005816941,0.00003196896,0.00002986111,0.000125714,0.000123013,0.001847459,0.997247,0.00001304684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005723335,0.0009027836,0.009511222,0.006256155,0.01633152,0.0003951197,0.6119826,0.0268408,0.3272075],"genre_scores_gemma":[0.01184684,0.002201889,0.02388748,0.006167747,0.006492211,0.001082679,0.3785312,0.04225762,0.5275323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09831965,"threshold_uncertainty_score":0.140241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417057441245661,"score_gpt":0.3450731830968932,"score_spread":0.3033674389723271,"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."}}