{"id":"W6951115112","doi":"10.5683/sp2/remsz6","title":"McGill Multicancer Model Technical Documentation","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Documentation; Population; Information model; Work (physics); Data modeling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002173119,0.00158192,0.00103018,0.001546912,0.0005329286,0.001295959,0.004514616,0.001543559,0.08691861],"category_scores_gemma":[0.008233719,0.0008699562,0.00131276,0.002440106,0.0003378163,0.001112245,0.001097148,0.001886188,0.06423783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549125,"about_ca_system_score_gemma":0.002559085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07597709,"about_ca_topic_score_gemma":0.1197069,"domain_scores_codex":[0.9993181,0.0001814094,0.0000487791,0.0001848698,0.0001740557,0.00009285319],"domain_scores_gemma":[0.9979803,0.0007634825,0.0001064194,0.0004804268,0.0005054686,0.0001638829],"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":[0.00007252325,0.00002760366,0.0008422963,0.0001990803,0.00002754991,0.00001679705,0.000009060993,0.008986492,0.0001232263,0.001075132,0.9836232,0.004997194],"study_design_scores_gemma":[0.0005423763,0.0001042658,0.00425068,0.0003472214,0.000103049,0.0002034532,0.00005752278,0.0529888,0.0014129,0.01464881,0.9252396,0.0001012459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008079472,0.0001714617,0.003245723,0.0002949788,0.00007971218,0.00009550448,0.9896823,0.002409998,0.003212425],"genre_scores_gemma":[0.00355715,0.0001468658,0.004582181,0.0003074151,0.00002057509,0.000486358,0.9867904,0.0006184767,0.003490538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08691861,"threshold_uncertainty_score":0.2907717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105344786263242,"score_gpt":0.3351557495648616,"score_spread":0.3041023017022292,"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."}}