{"id":"W4246845003","doi":"10.22215/etd/2000-04651","title":"Ice motion dynamics in the 1998 North Water polynya (NOW) season; validation and monitoring using RADARSAT-1 SCW data and the Canadian ice Tracking algorithm.","year":2000,"lang":"en","type":"dissertation","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tracking (education); Remote sensing; Dynamics (music); Ice formation; Geology; Motion (physics); Climatology; Meteorology; Environmental science; Computer science; Artificial intelligence; Atmospheric sciences; Geography; Physics","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":[0.0005243077,0.0002506698,0.0001753332,0.0003927559,0.0005515545,0.0003567619,0.0004049143,0.0001503549,0.0004337158],"category_scores_gemma":[0.001422504,0.0001370846,0.0001127857,0.0007981228,0.0002199658,0.0003264793,0.0002026516,0.0002355891,0.0001731631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003336541,"about_ca_system_score_gemma":0.003625688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9368203,"about_ca_topic_score_gemma":0.9638759,"domain_scores_codex":[0.9998742,0.000009836869,0.000005140246,0.00003103663,0.00006042651,0.00001928105],"domain_scores_gemma":[0.999446,0.00004670533,0.00005764677,0.00003570458,0.0003729372,0.00004100129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005733634,0.0002380407,0.7674015,0.0001536531,0.0002285167,0.0001488116,0.0005327024,0.06394716,0.007622246,0.0006695625,0.01610139,0.1423831],"study_design_scores_gemma":[0.00002397788,0.00002955642,0.9599582,0.00002663184,0.00004384216,0.0000385016,0.0001658244,0.03414253,0.002057194,0.00008547461,0.00341583,0.00001256274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814912,0.0004833943,0.001490734,0.0001750244,0.00002763247,0.00005286291,0.01130525,0.0001057129,0.004868097],"genre_scores_gemma":[0.9787329,0.000518431,0.004564984,0.00003678896,0.000009810815,0.00002923783,0.01401886,0.00003467247,0.00205437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06317967,"threshold_uncertainty_score":0.1271034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950143292355762,"score_gpt":0.2371516647553397,"score_spread":0.2176502318317821,"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."}}