{"id":"W2174185056","doi":"10.1016/j.applanim.2015.11.019","title":"Automated monitoring of resting in dogs","year":2015,"lang":"en","type":"article","venue":"Applied Animal Behaviour Science","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Accelerometer; Medicine; Data logger; Head-Down Tilt; Collar; Bed rest; Surgery; Computer science","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":[0.0001596316,0.0002549901,0.0004511042,0.0007794269,0.0001758359,0.0002768631,0.0003192511,0.000432044,0.0006236831],"category_scores_gemma":[0.0004572076,0.000126232,0.0001165969,0.0004142737,0.0002351174,0.0001664917,0.0002772562,0.0002355539,0.0003242621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731977,"about_ca_system_score_gemma":0.0001887404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724298,"about_ca_topic_score_gemma":0.00341494,"domain_scores_codex":[0.9998077,0.00005096786,0.000008428642,0.0000635897,0.00004035552,0.00002888761],"domain_scores_gemma":[0.9996802,0.00006863705,0.00008578502,0.00002478973,0.00007689017,0.00006370741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003361085,0.0003064438,0.63889,0.0003289713,0.0002188483,0.0005772421,0.0008099878,0.003581687,0.2387355,0.0002491896,0.002024857,0.1109162],"study_design_scores_gemma":[0.00003371578,0.0008261738,0.9659702,0.00002496099,0.00007894054,0.0008198245,0.0002534098,0.01775038,0.01295155,0.0001494345,0.001119924,0.00002142104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924489,0.0002906872,0.005041573,0.00003389752,0.00001605776,0.00002851228,0.0007175866,0.0002006714,0.00122202],"genre_scores_gemma":[0.9958706,0.0001186392,0.003084101,0.00002111287,0.00001855352,0.00002752886,0.0004251903,0.0000154021,0.0004188201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724298,"threshold_uncertainty_score":0.003428519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04862110125866242,"score_gpt":0.3771630064405803,"score_spread":0.3285419051819178,"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."}}