{"id":"W6968576592","doi":"10.5281/zenodo.3755909","title":"Machine Learning Advantages in Canadian Astrophysics","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University; Herzberg Institute of Astrophysics","funders":"","keywords":"Field (mathematics); Power (physics); Training set; Deep learning; Learning curve","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":[0.005075044,0.0007111714,0.0007374117,0.005172553,0.009282754,0.007058717,0.002331384,0.001397286,0.02834205],"category_scores_gemma":[0.01662354,0.0004595998,0.0008507991,0.01133299,0.003032605,0.002575183,0.003552639,0.002424928,0.003757086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09246133,"about_ca_system_score_gemma":0.13206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841242,"about_ca_topic_score_gemma":0.9876934,"domain_scores_codex":[0.9956858,0.0004233442,0.0001480692,0.0004690256,0.002295292,0.0009785099],"domain_scores_gemma":[0.9885651,0.00127915,0.0004039279,0.0004996524,0.007333525,0.001918551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003685248,0.00009335057,0.03847631,0.0004781429,0.00006855195,0.0006131426,0.002210596,0.002972318,0.0006374239,0.3909554,0.2403867,0.3227395],"study_design_scores_gemma":[0.00006365315,0.00005450547,0.0738761,0.0005393732,0.00005494381,0.0004623603,0.002233655,0.005940817,0.0008007917,0.04203115,0.8737923,0.0001502633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08507057,0.02478817,0.009991429,0.243103,0.0031053,0.0002454514,0.01655294,0.00102928,0.6161138],"genre_scores_gemma":[0.6669684,0.02362889,0.02587487,0.01848787,0.001244745,0.0001719231,0.01297553,0.0007148071,0.2499331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09246133,"threshold_uncertainty_score":0.6708571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051684754907238,"score_gpt":0.2299986402823465,"score_spread":0.2194817927332741,"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."}}