{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002327597,0.0001482459,0.0003681871,0.000800495,0.0003657376,0.00003292945,0.0008900897,0.0004860174,0.0005217176],"category_scores_gemma":[0.0004876086,0.000195797,0.0001182929,0.0006688979,0.0001097155,0.0001940678,0.0000479122,0.0002637744,0.00002501744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003283086,"about_ca_system_score_gemma":0.001289119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.268383,"about_ca_topic_score_gemma":0.4988818,"domain_scores_codex":[0.9984639,0.0002677672,0.0001690969,0.0004090255,0.0004163247,0.0002739141],"domain_scores_gemma":[0.9979903,0.0005503694,0.0004375469,0.000646557,0.0001550566,0.0002201999],"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":[0.0003056923,0.0008414106,0.01415172,0.005145267,0.002478114,0.00003416076,0.08403141,0.02200213,0.00007123552,0.03228572,0.72929,0.1093632],"study_design_scores_gemma":[0.001200219,0.00005140638,0.001308782,0.002214531,0.0002563352,2.787447e-7,0.1021858,0.03934696,0.000001144984,0.00001279911,0.8530091,0.0004126917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001570614,0.0001650057,0.3468557,0.002008173,0.002245646,0.002069936,0.003211486,0.0006109545,0.642676],"genre_scores_gemma":[0.4168422,0.00002688329,0.1469882,0.0001775609,0.0009639539,0.000003984396,0.00104135,0.0006500469,0.4333058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4166851,"threshold_uncertainty_score":0.798437,"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."}}