{"id":"W4394069571","doi":"10.6084/m9.figshare.19929884","title":"Xsens Data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"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":[0.001160959,0.002883607,0.002016183,0.005385776,0.001011236,0.002525515,0.002937431,0.002320248,0.2211832],"category_scores_gemma":[0.006304409,0.001008233,0.001459033,0.006953024,0.0005968952,0.001440285,0.002255942,0.001995185,0.1701872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212137,"about_ca_system_score_gemma":0.00275308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506941,"about_ca_topic_score_gemma":0.02495362,"domain_scores_codex":[0.9990333,0.0001010592,0.0001382013,0.0003033917,0.0002806238,0.0001434569],"domain_scores_gemma":[0.9975925,0.000963187,0.0002358858,0.0005062835,0.0005054778,0.000196585],"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":[0.0001048133,0.00003164538,0.0006430088,0.001253332,0.00004182564,0.00004156269,0.00004332664,0.0004645704,0.0003736449,0.0006905576,0.9927279,0.003584025],"study_design_scores_gemma":[0.0002637911,0.00002221504,0.003658123,0.0002652507,0.00004745928,0.0000550288,0.00007072768,0.0005387756,0.0009736726,0.00243328,0.991614,0.00005776215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005106891,0.00001328143,0.00007283076,0.00001424543,0.000008628241,0.000007228821,0.9990004,0.000551869,0.0002804463],"genre_scores_gemma":[0.000304095,0.00003454889,0.0005075704,0.00003701771,0.000004340132,0.0001113149,0.9980478,0.0003500575,0.0006032815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2211832,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05912481409756184,"score_gpt":0.3077222705538483,"score_spread":0.2485974564562864,"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."}}