{"id":"W4286774223","doi":"","title":"Integrating and reporting full multi-view supervised learning experiments using SuMMIT","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"","keywords":"Summit; Computer science; Artificial intelligence; Machine learning; Geography; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.02635714,0.003775347,0.003153485,0.004805192,0.002265793,0.006008184,0.004406106,0.005105674,0.01261142],"category_scores_gemma":[0.08118191,0.001535794,0.003223181,0.002289038,0.002011494,0.005668005,0.005936169,0.003356132,0.01286682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539856,"about_ca_system_score_gemma":0.004024926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008548654,"about_ca_topic_score_gemma":0.02022402,"domain_scores_codex":[0.9734862,0.01006672,0.002225827,0.00631476,0.006656622,0.001249815],"domain_scores_gemma":[0.8961111,0.03535977,0.003503533,0.04168783,0.02073482,0.002603024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006591844,0.002510115,0.03160577,0.005043809,0.004018344,0.00103459,0.0007718307,0.06234043,0.1019785,0.004903599,0.4091007,0.3701006],"study_design_scores_gemma":[0.0008065451,0.002088307,0.03890326,0.0005087544,0.001511507,0.001080797,0.0007825535,0.6076171,0.2031787,0.0262091,0.116529,0.0007843174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1058256,0.004889037,0.5063685,0.002333632,0.004621216,0.002016991,0.1188716,0.2393238,0.01574957],"genre_scores_gemma":[0.3439061,0.0006002258,0.4061593,0.00122046,0.0007609275,0.00237387,0.2172391,0.01570926,0.01203077],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02635714,"threshold_uncertainty_score":0.1393915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06068588380669114,"score_gpt":0.2975914759832826,"score_spread":0.2369055921765915,"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."}}