{"id":"W3197075191","doi":"10.1101/2021.09.01.458583","title":"Wide-Angle, Monocular Head Tracking using Passive Markers","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Army Research Office; Multidisciplinary University Research Initiative; National Institutes of Health","keywords":"Computer vision; Artificial intelligence; Computer science; Orientation (vector space); Monocular; Tracking system; Tracking (education); Position (finance); Head (geology); Kalman filter; Mathematics","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":[0.0002742431,0.0003600258,0.0003648291,0.0003802362,0.0001587052,0.0004880955,0.0007372336,0.0005010926,0.001321234],"category_scores_gemma":[0.0006518902,0.000259963,0.0002279583,0.0003144242,0.000232644,0.0005335151,0.0007633137,0.0002932585,0.001052568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402231,"about_ca_system_score_gemma":0.0004450582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245049,"about_ca_topic_score_gemma":0.00212271,"domain_scores_codex":[0.9997107,0.00002396072,0.00001295347,0.0001228978,0.0001028767,0.00002652878],"domain_scores_gemma":[0.9996266,0.00004291245,0.0001121625,0.00008236594,0.0001044607,0.00003141681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003178761,0.00008141975,0.004361008,0.0002542847,0.00007082895,0.0001853986,0.0001780915,0.008616238,0.6834407,0.001517468,0.004490902,0.2964857],"study_design_scores_gemma":[0.0001232151,0.0009374899,0.02911756,0.0001249963,0.0001490592,0.001761921,0.00008282172,0.3252128,0.6064484,0.001994732,0.0339092,0.0001377831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1018471,0.0006365569,0.8886942,0.0001348267,0.0001074713,0.00008599401,0.0004403747,0.004310262,0.003743139],"genre_scores_gemma":[0.6256914,0.0008035947,0.3623465,0.0002877032,0.00006033717,0.0002108378,0.0009123422,0.0001811516,0.009506173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001321234,"threshold_uncertainty_score":0.004419923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083719815042045,"score_gpt":0.2738943949777141,"score_spread":0.2530571968272936,"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."}}