{"id":"W3180400959","doi":"10.18280/ria.350308","title":"Farm Animals’ Behaviors and Welfare Analysis with IA Algorithms: A Review","year":2021,"lang":"en","type":"review","venue":"Revue d intelligence artificielle","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animal welfare; Rumination; Originality; Animal behavior; Animal learning; Artificial intelligence; Computer science; Machine learning; Psychology; Biology; Cognitive psychology; Social psychology; Neuroscience; Ecology; Zoology; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007218316,0.0005904743,0.00245157,0.00006071707,0.000293418,0.0001403628,0.000564122,0.0002937696,0.002316393],"category_scores_gemma":[0.000131034,0.0002305848,0.000892495,0.00344405,0.0002007336,0.00006293439,0.0002071775,0.000490069,0.0000659293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007954717,"about_ca_system_score_gemma":0.00003820382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002377244,"about_ca_topic_score_gemma":0.0008185889,"domain_scores_codex":[0.9964888,0.0003730777,0.001010151,0.001293161,0.000336017,0.0004988094],"domain_scores_gemma":[0.99835,0.0003698666,0.0004095551,0.0004264369,0.0002117441,0.0002323776],"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":[0.000001745847,0.0001114461,0.0000575717,0.005650696,0.0002339684,0.00004931164,0.00003317231,0.000006566057,0.000003869398,0.0000864429,0.00004221745,0.993723],"study_design_scores_gemma":[0.000007754287,0.0002642774,0.00006275945,0.01350675,0.004180182,0.0001141773,0.0004652302,0.0001148766,0.00001267388,0.000008476468,0.9806205,0.0006423154],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001993691,0.9974884,0.00004562457,0.000653426,0.00005967521,0.001064888,0.0002246624,0.00007933683,0.0001846252],"genre_scores_gemma":[0.0006603741,0.9978176,0.0003334049,0.00005694604,0.00009134995,0.0002066575,0.0004741088,0.00000620833,0.0003533288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9930807,"threshold_uncertainty_score":0.9985956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0611275129083803,"score_gpt":0.3196346427248465,"score_spread":0.2585071298164662,"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."}}