{"id":"W6996820530","doi":"","title":"Synthetic Animated Mouse (SAM), University of British Columbia, Datasets and 3D-models","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training set; Virtual reality; Set (abstract data type)","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":[0.001671211,0.00284628,0.001117652,0.002358646,0.001412303,0.001987255,0.004086604,0.001792292,0.01346951],"category_scores_gemma":[0.006898296,0.001177769,0.001536843,0.00281132,0.0009154053,0.0009051054,0.002480909,0.002395263,0.01408671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002367522,"about_ca_system_score_gemma":0.003996539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3051804,"about_ca_topic_score_gemma":0.4565923,"domain_scores_codex":[0.9989989,0.0001554551,0.00006451737,0.0002136148,0.0004535969,0.0001138451],"domain_scores_gemma":[0.9977581,0.0004318014,0.00008833198,0.000776348,0.0006529315,0.0002925459],"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":[0.0008911339,0.00040684,0.005556096,0.001241458,0.0002511349,0.0004276235,0.0002098097,0.03929241,0.003621192,0.003100423,0.8959303,0.0490716],"study_design_scores_gemma":[0.000766438,0.0002064684,0.02035477,0.0008703246,0.0001580062,0.0006655719,0.0003709024,0.1998859,0.01003318,0.009784544,0.7566465,0.000257415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0262941,0.002645565,0.02760073,0.001000818,0.000451061,0.0005463619,0.857285,0.07204062,0.01213577],"genre_scores_gemma":[0.02104229,0.0006093127,0.02404832,0.0001118369,0.00001985428,0.000514659,0.9465808,0.00242793,0.004645014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3051804,"threshold_uncertainty_score":0.6068081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308170563106056,"score_gpt":0.2223697427721109,"score_spread":0.2092880371410503,"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."}}