{"id":"W3155360963","doi":"10.17605/osf.io/pv4uj","title":"German shepherd and Labrador retriever dogs biomechanical datasets","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; German; German Shepherd Dog; Geography; Medicine; Archaeology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000652314,0.0008038955,0.000618223,0.00291826,0.0003980628,0.0005346852,0.0007550091,0.001226586,0.02119779],"category_scores_gemma":[0.001782425,0.0003163781,0.00069616,0.002246951,0.0003734168,0.000248276,0.0007090447,0.0003349702,0.015925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355651,"about_ca_system_score_gemma":0.0008423056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986028,"about_ca_topic_score_gemma":0.04782112,"domain_scores_codex":[0.9996184,0.00004952369,0.00003816943,0.0001181082,0.0001122986,0.00006359925],"domain_scores_gemma":[0.9993218,0.0001172332,0.0001012784,0.0001589757,0.0002225742,0.0000782534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00183979,0.0008175161,0.1224188,0.002543042,0.001096876,0.00113002,0.0007477946,0.01077889,0.01054627,0.002060323,0.7333038,0.1127169],"study_design_scores_gemma":[0.0001991369,0.0003100152,0.6540894,0.0005050018,0.0003679044,0.001170247,0.0008759316,0.002855043,0.002031173,0.001084917,0.3364091,0.0001021492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08005834,0.0005481431,0.00179656,0.0001966135,0.00005883605,0.0001126091,0.911436,0.0004860465,0.005306934],"genre_scores_gemma":[0.04647087,0.000336614,0.001911722,0.00008215345,0.00003564966,0.0004085849,0.9447532,0.0001010085,0.005900279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02119779,"threshold_uncertainty_score":0.07091367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095765736626204,"score_gpt":0.3208122677602076,"score_spread":0.2998546103939456,"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."}}