{"id":"W6931085150","doi":"10.5281/zenodo.3473472","title":"wesleyburr/subMaldi: Draft Manuscript Version","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Code (set theory); Section (typography); Exposition (narrative); Subpoena","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":[],"category_scores_codex":[0.01221091,0.002030146,0.002482585,0.004596618,0.002204285,0.006853728,0.002778707,0.002135044,0.6363573],"category_scores_gemma":[0.1543902,0.001524228,0.002111235,0.004320083,0.00117542,0.00398394,0.0035223,0.003627256,0.5303021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907345,"about_ca_system_score_gemma":0.008333985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005503584,"about_ca_topic_score_gemma":0.006049913,"domain_scores_codex":[0.9924815,0.001865843,0.001094663,0.001651775,0.002395395,0.0005108853],"domain_scores_gemma":[0.9090533,0.02554883,0.002567663,0.0156674,0.04335893,0.003803737],"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":[0.000256374,0.00002167313,0.000678963,0.0005118551,0.00004471508,0.00008076672,0.0001917755,0.0001272364,0.0005509018,0.0009333423,0.9780058,0.01859656],"study_design_scores_gemma":[0.0002987683,0.0000523504,0.002398276,0.000875035,0.0001161019,0.0003826797,0.0003400235,0.001116269,0.002700139,0.00770491,0.9838908,0.0001246595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004904041,0.00109308,0.06844252,0.01975388,0.02292007,0.002521398,0.7529242,0.07288494,0.05455582],"genre_scores_gemma":[0.03086805,0.001262401,0.1178398,0.005742702,0.003599192,0.004109556,0.5017403,0.1536314,0.1812065],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6363573,"threshold_uncertainty_score":0.5186921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419137533859819,"score_gpt":0.2636443783983269,"score_spread":0.2294530030597287,"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."}}