{"id":"W4280546533","doi":"10.1038/s41598-022-11635-5","title":"The activity patterns of nonworking and working sled dogs","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007476152,0.00006222284,0.00007674065,0.00002884744,0.0008292811,0.0000774403,0.0000792745,0.0000163094,0.00002952087],"category_scores_gemma":[0.0000683179,0.00004927389,0.00004921107,0.00008319138,0.0001135166,0.00000274658,0.0004224962,0.0000812548,4.327674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001252995,"about_ca_system_score_gemma":0.00002173426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002643085,"about_ca_topic_score_gemma":0.0001117574,"domain_scores_codex":[0.9990996,0.00005663213,0.0001769331,0.0003294428,0.000205839,0.0001315922],"domain_scores_gemma":[0.9993331,0.00002187833,0.0002212026,0.000350053,0.00005111657,0.00002268039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003632625,0.00003407233,0.07649976,0.000006403642,0.00005321767,0.00002077964,0.0003010533,0.00002805473,0.913373,0.0000210523,0.003860021,0.005766253],"study_design_scores_gemma":[0.0001144509,0.00009346125,0.02440251,0.00001564642,0.00001930038,0.0001805966,0.0008914904,0.00003452691,0.3303761,0.0002649372,0.6434443,0.000162707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958342,0.000325543,0.00006109384,0.00008869929,0.002513695,0.00008881962,0.000001418995,0.000005717909,0.001080854],"genre_scores_gemma":[0.9962164,0.00001497883,0.00001804801,0.00001536708,0.00005394125,0.00002402809,0.000006384599,0.000006369828,0.003644437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6395843,"threshold_uncertainty_score":0.6378244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287721075114689,"score_gpt":0.3124186641127978,"score_spread":0.2895414533616509,"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."}}