{"id":"W4302071234","doi":"","title":"Statistics versus Machine Learning","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Statistics; Computer science; Artificial intelligence; Machine learning; Mathematics","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":[0.002891501,0.001033405,0.001940376,0.002913527,0.0007743011,0.004886414,0.0007481845,0.002807176,0.0176204],"category_scores_gemma":[0.02149298,0.0003842038,0.0004078024,0.003763577,0.003249268,0.005287711,0.001089685,0.003769945,0.007424085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673905,"about_ca_system_score_gemma":0.001163951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066811,"about_ca_topic_score_gemma":0.0007060476,"domain_scores_codex":[0.9976127,0.001254651,0.0001296857,0.0004499985,0.0004919585,0.00006106768],"domain_scores_gemma":[0.9776286,0.01857377,0.0006966772,0.0008619638,0.001880281,0.0003586108],"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":[0.00005146903,0.00002936115,0.0005889005,0.0003674398,0.00003351445,0.00005929991,0.00009181405,0.002854206,0.000564317,0.8276283,0.05950629,0.108225],"study_design_scores_gemma":[0.00001271858,0.00004497559,0.0007008058,0.0002398955,0.00002029731,0.0001143624,0.00005805345,0.01541217,0.0005140858,0.8703752,0.1124838,0.00002372487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0173356,0.2339141,0.3441588,0.1780883,0.03026021,0.00006711634,0.001470449,0.001703558,0.1930019],"genre_scores_gemma":[0.4668871,0.1377806,0.07013723,0.02164179,0.1121938,0.000358551,0.001879481,0.001827267,0.1872942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0176204,"threshold_uncertainty_score":0.05894613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058465867439069,"score_gpt":0.2475971087173014,"score_spread":0.2270124500429107,"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."}}