{"id":"W4386256250","doi":"10.3390/agriculture13091706","title":"AI in Sustainable Pig Farming: IoT Insights into Stress and Gait","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Wageningen University and Research","keywords":"Isolation (microbiology); Accelerometer; Internet of Things; Respiration rate; Computer science; Biology; Respiration; Computer security; Bioinformatics","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":[0.0002628789,0.000376658,0.0002158656,0.0009354473,0.0002120363,0.0009642444,0.0002777927,0.0005883923,0.001294539],"category_scores_gemma":[0.0006807175,0.0001583639,0.0003050702,0.0007303892,0.0004398557,0.0008459355,0.0005354959,0.0003781361,0.0002259849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226723,"about_ca_system_score_gemma":0.0001964919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059975,"about_ca_topic_score_gemma":0.001818746,"domain_scores_codex":[0.9998873,0.00003394485,0.000007181085,0.00002556141,0.00002688353,0.00001910277],"domain_scores_gemma":[0.9997424,0.00009563893,0.00006188318,0.0000243268,0.00005094452,0.00002481327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005341982,0.0005524775,0.2164049,0.001307891,0.0002502913,0.002385229,0.003894135,0.02266447,0.1759945,0.01641456,0.005598379,0.5539989],"study_design_scores_gemma":[0.00002458271,0.001167514,0.7311937,0.0008100475,0.0002234757,0.002490671,0.00978427,0.1536053,0.01969573,0.04822595,0.03256201,0.0002167075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7854081,0.007789033,0.1759244,0.0043754,0.0005833209,0.0001451389,0.00149423,0.0004234748,0.02385693],"genre_scores_gemma":[0.9460681,0.004355294,0.0456333,0.0005686212,0.0002911105,0.00007910319,0.0004256977,0.0000308296,0.002548083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001294539,"threshold_uncertainty_score":0.004330695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970619685053353,"score_gpt":0.293740056526167,"score_spread":0.2740338596756335,"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."}}