{"id":"W4385384972","doi":"10.1007/978-1-4842-9642-4_5","title":"Building Training Pipelines","year":2023,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bible College","funders":"","keywords":"sync; Computer science; Schema (genetic algorithms); Training (meteorology); Pipeline transport; Software engineering; Engineering; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004375285,0.0003520375,0.0005358412,0.0007568375,0.0003023455,0.0009794215,0.002217973,0.0001914934,0.0003053089],"category_scores_gemma":[0.001169729,0.0002859014,0.0002815216,0.00007078629,0.0001836122,0.00008137451,0.001554691,0.0003336518,0.002465507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002555787,"about_ca_system_score_gemma":0.00007158103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002225462,"about_ca_topic_score_gemma":0.00003076783,"domain_scores_codex":[0.9949059,0.00004394269,0.0009611964,0.001467192,0.002199994,0.0004217079],"domain_scores_gemma":[0.9955286,0.001514658,0.0004684064,0.00209406,0.0002373215,0.0001569692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004399431,0.000001840388,9.744525e-7,0.000008141037,0.00003263637,0.00004581932,0.0003591406,0.00008211594,0.00002464483,0.354217,0.1143195,0.5309038],"study_design_scores_gemma":[0.00008454697,0.000009130181,0.000006490312,0.0001309852,0.00002508546,0.000003427216,0.00007232821,0.0009869293,0.00001919375,0.2988972,0.6995153,0.0002493986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000675266,0.00007017563,0.01093328,0.0001386716,0.004595497,0.0002310134,0.00009093794,0.0004128783,0.98346],"genre_scores_gemma":[0.002465981,0.000003712552,0.002551628,0.0001948925,0.0007045038,0.000008248456,0.00001852382,0.00006806186,0.9939845],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5851958,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4230433684811745,"score_gpt":0.4091542562036606,"score_spread":0.01388911227751383,"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."}}