{"id":"W2289240769","doi":"","title":"Rörelseanalys med tillämpning av inversdynamik - en pilotstudie på frisk labrador retriever","year":2010,"lang":"sv","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Medicine; 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":[0.00217022,0.001064459,0.0007640193,0.0006397049,0.001016961,0.00290769,0.001430937,0.001337533,0.03686644],"category_scores_gemma":[0.003854836,0.0004303189,0.0006700812,0.0003898926,0.0009640685,0.002329834,0.002021596,0.001340731,0.01676288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005393369,"about_ca_system_score_gemma":0.0009585836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003997815,"about_ca_topic_score_gemma":0.003714645,"domain_scores_codex":[0.9987147,0.0002812377,0.00007185441,0.0002829045,0.0005341562,0.0001150463],"domain_scores_gemma":[0.9985147,0.0006417563,0.00005643845,0.0003298222,0.0003387767,0.0001185464],"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":[0.002738049,0.001455532,0.00408338,0.00123731,0.0001495738,0.001823687,0.01788393,0.01087423,0.2434886,0.005026447,0.01500415,0.6962352],"study_design_scores_gemma":[0.0005492928,0.006744652,0.02267994,0.0007152981,0.0005899479,0.005095254,0.02243643,0.03741327,0.4127865,0.009203766,0.4812341,0.0005515636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7184431,0.003291687,0.190717,0.001643709,0.0006737167,0.0009893484,0.003557883,0.007905213,0.07277834],"genre_scores_gemma":[0.7401398,0.002267333,0.1201308,0.000446783,0.0001782479,0.0005818048,0.003866815,0.003202213,0.1291862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03686644,"threshold_uncertainty_score":0.1233306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289908075028618,"score_gpt":0.2407161903167531,"score_spread":0.227817109566467,"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."}}