{"id":"W3000720194","doi":"10.1145/3371049.3371055","title":"Opportunities for ACI in PLF","year":2019,"lang":"en","type":"article","venue":"","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Usability; Field (mathematics); Livestock; Computer science; Human welfare; Agriculture; Work (physics); Welfare; Human–computer interaction; Knowledge management; Engineering; Political science; Geography; Mathematics","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":[0.04537899,0.001115928,0.0008650783,0.003136372,0.003327889,0.00987274,0.003697445,0.004606198,0.0246364],"category_scores_gemma":[0.05052526,0.0006227155,0.00123103,0.002550669,0.007409208,0.01401645,0.007957006,0.003749384,0.004063415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003497781,"about_ca_system_score_gemma":0.005725904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027602,"about_ca_topic_score_gemma":0.003861672,"domain_scores_codex":[0.9700021,0.02232735,0.0008663022,0.001659682,0.003634979,0.001509651],"domain_scores_gemma":[0.9055217,0.06627027,0.002654552,0.009855094,0.01160199,0.004096433],"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":[0.0004186079,0.001134505,0.01091803,0.002434997,0.00005625643,0.000626646,0.03559779,0.001242134,0.005091097,0.157971,0.02574091,0.7587681],"study_design_scores_gemma":[0.000133016,0.002092198,0.01586075,0.004676395,0.00009657643,0.002086824,0.05236668,0.006739242,0.006441812,0.1930531,0.7162265,0.0002269471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08420739,0.02415462,0.4797407,0.09676575,0.002470871,0.002077348,0.0005211791,0.003497014,0.3065651],"genre_scores_gemma":[0.5703098,0.01325501,0.3704573,0.009623449,0.001395108,0.00339482,0.0004856068,0.0009572506,0.03012175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04537899,"threshold_uncertainty_score":0.2399899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2612685584642329,"score_gpt":0.377867548202695,"score_spread":0.1165989897384621,"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."}}