{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004300443,0.001938222,0.001304727,0.00183886,0.001196382,0.003742166,0.004213001,0.00166049,0.03991644],"category_scores_gemma":[0.02168552,0.00234772,0.002686189,0.001740388,0.001322533,0.01155748,0.005398398,0.004964223,0.02659902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949507,"about_ca_system_score_gemma":0.002378962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006088203,"about_ca_topic_score_gemma":0.007143996,"domain_scores_codex":[0.997962,0.0004581982,0.0001215635,0.0007159398,0.0005940332,0.0001482481],"domain_scores_gemma":[0.9934831,0.003594585,0.0001331038,0.001628375,0.0009344214,0.0002263058],"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":[0.0002444585,0.000193977,0.003038684,0.001040739,0.0001800105,0.0003207978,0.0008078046,0.0776913,0.006097967,0.09553877,0.1562608,0.6585846],"study_design_scores_gemma":[0.00006147127,0.0001310891,0.001170925,0.0004232491,0.0001134011,0.0003492972,0.0003167342,0.5284329,0.01796445,0.2338684,0.2170692,0.00009889008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003026543,0.0007353843,0.9433253,0.001203522,0.0002524623,0.0002697796,0.002708339,0.0366934,0.01178535],"genre_scores_gemma":[0.05019343,0.001457667,0.895259,0.001342295,0.0001811471,0.0007322532,0.01836066,0.01021079,0.02226283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03991644,"threshold_uncertainty_score":0.1335338,"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."}}