{"id":"W3107293471","doi":"10.1093/jas/skab235.077","title":"80 A Brief Overview, Comparison and Practical Applications of Machine Learning Models","year":2021,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Data Analysis with R","field":"Computer Science","cited_by":2,"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":[0.004635965,0.001545989,0.0009722883,0.003638411,0.0006265342,0.004134078,0.001712727,0.002279619,0.01523854],"category_scores_gemma":[0.01429272,0.0008936457,0.001547949,0.004408309,0.0008730146,0.004668824,0.001583898,0.003691169,0.01209274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002124628,"about_ca_system_score_gemma":0.00118386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933041,"about_ca_topic_score_gemma":0.001142127,"domain_scores_codex":[0.9966607,0.00143436,0.0002303842,0.0004596645,0.0010959,0.0001189677],"domain_scores_gemma":[0.9949846,0.003707111,0.0001544832,0.000324507,0.000722108,0.0001072507],"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":[0.0001445304,0.0001838451,0.001325021,0.003393998,0.0001373627,0.0003819788,0.0003341351,0.02543375,0.002107564,0.2056782,0.1324928,0.6283869],"study_design_scores_gemma":[0.00002143903,0.000175852,0.001758148,0.002177539,0.00003718796,0.0005639313,0.0002300908,0.03946332,0.001540886,0.2219994,0.7319286,0.0001036143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004535111,0.2269022,0.6601306,0.02010522,0.005401711,0.0003185357,0.001518883,0.002282082,0.07880571],"genre_scores_gemma":[0.0958273,0.2874923,0.5351738,0.006163461,0.008856899,0.0009054954,0.005505149,0.001798366,0.0582772],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01523854,"threshold_uncertainty_score":0.05097795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06731825744003361,"score_gpt":0.3556443187021547,"score_spread":0.2883260612621211,"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."}}