{"id":"W2792961417","doi":"","title":"Parameter, State and Uncertainty Estimation for 3-dimensional Biological Ocean Models","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Econometrics; State (computer science); Environmental science; Climatology; Statistics; Mathematics; Geology; Economics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001729216,0.0004596114,0.0004462337,0.0005348035,0.0003185333,0.0008822877,0.0005138987,0.0006354071,0.0002859175],"category_scores_gemma":[0.006327794,0.0004428253,0.0006452436,0.000507356,0.0006129731,0.0009907156,0.001000931,0.0008261485,0.00008317126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007824125,"about_ca_system_score_gemma":0.00126478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009444351,"about_ca_topic_score_gemma":0.006473329,"domain_scores_codex":[0.9997066,0.0001188214,0.00002262358,0.00004877591,0.0000823807,0.0000207688],"domain_scores_gemma":[0.9980586,0.001459037,0.0002334025,0.00009222823,0.0001303048,0.00002643384],"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":[0.00001252844,0.000007075742,0.0007205693,0.00001441835,0.00001447709,0.000007640705,0.00002337906,0.987271,0.0009594291,0.002943267,0.00004362555,0.007982573],"study_design_scores_gemma":[5.021635e-7,0.000003453352,0.0002053914,0.000001653725,0.000001490683,0.00000247399,0.000002401186,0.9976634,0.000342288,0.001718187,0.00005574528,0.000002951668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07997964,0.0002650615,0.9185055,0.0001937028,0.00001656435,0.00001767694,0.00008576529,0.000222652,0.0007134131],"genre_scores_gemma":[0.886342,0.0003991141,0.1120807,0.00004484161,0.00001731818,0.00009236427,0.0002093685,0.00006038985,0.0007538789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009444351,"threshold_uncertainty_score":0.01877874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151215573007443,"score_gpt":0.1720533548999373,"score_spread":0.1605411991698629,"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."}}