{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388023,0.00006918391,0.0002456627,0.0001521841,0.0001529492,0.0002272017,0.0005976097,0.000021245,0.00001160479],"category_scores_gemma":[0.0003388242,0.0000566594,0.00005707482,0.001416252,0.000222537,0.00203162,0.0004624929,0.0002600279,0.000002164706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003285302,"about_ca_system_score_gemma":0.0004466781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002030162,"about_ca_topic_score_gemma":0.000009584691,"domain_scores_codex":[0.9983291,0.00007235864,0.0004332616,0.0002314069,0.0007625311,0.0001713383],"domain_scores_gemma":[0.9983475,0.0001399754,0.0005195781,0.0002487983,0.0005757043,0.0001684428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008964247,0.001075887,0.02625347,0.00008822035,0.0001109729,0.0002365234,0.002195355,0.006179059,0.447073,0.4586101,0.0009960093,0.0570918],"study_design_scores_gemma":[0.0002768821,0.0004545987,0.01263396,0.00004682171,0.00004591695,0.0009993232,0.0001525911,0.9647265,0.01238692,0.003310283,0.004832701,0.0001335125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06876704,0.001824859,0.9264337,0.002018256,0.00003787769,0.00004525688,0.000002197573,0.00001006119,0.0008607496],"genre_scores_gemma":[0.8780928,0.0001527645,0.1216183,0.00009289099,0.00002444297,5.72156e-7,2.767156e-7,0.000002053085,0.00001585518],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9585474,"threshold_uncertainty_score":0.2310503,"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."}}