{"id":"W7030434888","doi":"","title":"A novel method for simulation of telemetry data based on Canadian Lynx","year":2023,"lang":"en","type":"other","venue":"ScholarWorks - UA (University of Alaska System)","topic":"Education and Teacher Training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Telemetry; Noise (video); Data collection; Data processing","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":[0.0005454074,0.000677755,0.0004933204,0.0007562181,0.001157436,0.00104107,0.001942216,0.0009021458,0.007192334],"category_scores_gemma":[0.002179317,0.0005316855,0.000543177,0.0007362085,0.0004187272,0.0005061422,0.00083155,0.0008497459,0.0007651307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893835,"about_ca_system_score_gemma":0.00441944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4017356,"about_ca_topic_score_gemma":0.3357554,"domain_scores_codex":[0.9997199,0.00003660139,0.00001508882,0.00005975796,0.0001243832,0.00004420447],"domain_scores_gemma":[0.9993741,0.000208924,0.0000354212,0.00005449157,0.0002714073,0.00005568967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007497826,0.0000461145,0.002899576,0.00003604804,0.00004389898,0.0001605764,0.0001437536,0.9567103,0.003889366,0.005498408,0.002341335,0.02815565],"study_design_scores_gemma":[0.000006174788,0.000003449386,0.0001456216,0.000002098261,0.000002928718,0.00001008626,0.000009608651,0.9982737,0.0004245024,0.0002709637,0.0008461812,0.000004586889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04753055,0.0000813331,0.9380231,0.0001548603,0.0001431698,0.0001491638,0.000596364,0.004058405,0.009262972],"genre_scores_gemma":[0.4934686,0.0001211694,0.4931672,0.0001150849,0.00004344432,0.0003159792,0.001087649,0.0006937654,0.01098705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4017356,"threshold_uncertainty_score":0.7987945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264011681561368,"score_gpt":0.3680291779195844,"score_spread":0.2416280097634476,"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."}}