{"id":"W4205353605","doi":"10.1093/jas/skaa278.081","title":"311 A brief overview, comparison and practical applications of machine learning models","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Nutrition and Health","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Workbench; Session (web analytics); Machine learning; Computer science; Artificial intelligence; Laptop; Cluster analysis; World Wide Web; Visualization","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":[0.003926725,0.001432719,0.0008761086,0.003169481,0.0005886304,0.0041738,0.001596373,0.002220479,0.01653506],"category_scores_gemma":[0.01195913,0.0008434553,0.001323239,0.003999305,0.0007826836,0.00425757,0.001298778,0.003481425,0.01195695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904127,"about_ca_system_score_gemma":0.001103319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058583,"about_ca_topic_score_gemma":0.001383357,"domain_scores_codex":[0.9972946,0.001210153,0.0001841688,0.000341452,0.0008773053,0.00009230663],"domain_scores_gemma":[0.9956869,0.003199707,0.0001292364,0.0002529524,0.0006367681,0.00009433789],"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":[0.0001325697,0.0001997649,0.001442881,0.003632659,0.0001333638,0.0004057423,0.0003391629,0.02590187,0.002082389,0.2054227,0.1413081,0.6189987],"study_design_scores_gemma":[0.00001978296,0.0001865112,0.001610254,0.002176847,0.00003501559,0.0005424567,0.0002306388,0.04514837,0.001442031,0.2333558,0.7151538,0.0000985724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005006531,0.2311601,0.6448596,0.02202656,0.005914714,0.0002922624,0.001855384,0.002052224,0.0868326],"genre_scores_gemma":[0.102707,0.2984563,0.5043306,0.006350205,0.00902751,0.0007516958,0.006675645,0.001587497,0.07011352],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01653506,"threshold_uncertainty_score":0.05531532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570469558561467,"score_gpt":0.3551777826223789,"score_spread":0.1981308267662322,"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."}}