{"id":"W6939354856","doi":"10.60692/fvd00-km275","title":"Task-Informed Meta-Learning data","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Data set; Codebase; Data collection; Identification (biology); Work (physics)","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":[0.00409976,0.001819327,0.001015111,0.002699743,0.0008574855,0.00291633,0.00326696,0.002320039,0.06828414],"category_scores_gemma":[0.03431803,0.0009716368,0.001641022,0.00275657,0.000582697,0.002638252,0.002609827,0.004017583,0.06962576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554657,"about_ca_system_score_gemma":0.004757245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008679896,"about_ca_topic_score_gemma":0.02142495,"domain_scores_codex":[0.9979113,0.0004369926,0.0001842679,0.0006595452,0.0006511282,0.0001568064],"domain_scores_gemma":[0.9896176,0.00360852,0.0004363167,0.003687081,0.002232358,0.000418061],"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":[0.0007424187,0.000348691,0.005183267,0.00135586,0.0002080338,0.0001712952,0.0002277959,0.01040653,0.002833134,0.005516022,0.9053341,0.06767274],"study_design_scores_gemma":[0.0007654331,0.0001738313,0.006195106,0.0009473636,0.0002009042,0.0003232892,0.0001901115,0.04613782,0.01465378,0.05351907,0.8766685,0.0002248384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00557672,0.0007931183,0.04543924,0.001345475,0.0006270511,0.0004252222,0.8877572,0.04715722,0.01087874],"genre_scores_gemma":[0.02464376,0.0003849898,0.07224497,0.000790571,0.00008805796,0.001584142,0.8842337,0.008163502,0.007866441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06828414,"threshold_uncertainty_score":0.2284332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070936500499923,"score_gpt":0.260133056864539,"score_spread":0.1530394068145468,"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."}}