{"id":"W2106275908","doi":"10.1002/rra.1445","title":"Surface ice observations on the St. Lawrence River using infrared thermography","year":2010,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Remote sensing; Environmental science; Infrared; Sea ice; Geology; Calibration; Meteorology; Climatology; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001007443,0.000140542,0.0001387489,0.0007139436,0.0003028056,0.0003729823,0.0001936761,0.0001204279,0.0004291704],"category_scores_gemma":[0.0001234041,0.00009950242,0.00008216687,0.0007472603,0.0001151611,0.0001552767,0.0001479565,0.0001691498,0.0001424626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055052,"about_ca_system_score_gemma":0.0004960466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1899921,"about_ca_topic_score_gemma":0.4494591,"domain_scores_codex":[0.9999263,0.000006369397,0.000002113253,0.0000184784,0.00003163349,0.00001508146],"domain_scores_gemma":[0.999863,0.0000106677,0.00002900209,0.000006285998,0.00007589838,0.00001504979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003761298,0.0001923662,0.759742,0.0001055741,0.00007185768,0.0003947824,0.001381824,0.004737138,0.1673115,0.0001707796,0.001957965,0.06355815],"study_design_scores_gemma":[0.000008526026,0.00005148436,0.9860628,0.00001403588,0.00001484029,0.00006455197,0.0003654495,0.006637452,0.005416664,0.00001418373,0.001339596,0.00001045691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950752,0.00005452087,0.0006051569,0.00001339024,0.000002509051,0.00001474702,0.0009044074,0.00006061773,0.00326946],"genre_scores_gemma":[0.9961044,0.00004784422,0.002026038,0.00001245955,0.000002652726,0.00001147346,0.0008026188,0.000006970669,0.0009856859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8100079,"threshold_uncertainty_score":0.3777725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07807574299423295,"score_gpt":0.3048030466463136,"score_spread":0.2267273036520806,"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."}}