{"id":"W7132599251","doi":"","title":"Image processing techniques for a managed ice field in a model test basin","year":2020,"lang":"en","type":"article","venue":"NPARC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image processing; Data processing; Field (mathematics); Structural basin; Test (biology)","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":[0.0003510841,0.0001908842,0.000148305,0.001075176,0.0004600072,0.000634493,0.0003472292,0.0003318372,0.01555031],"category_scores_gemma":[0.001581689,0.0001410686,0.0002247178,0.0006341853,0.0001935471,0.0003822458,0.0001850676,0.000211233,0.002033604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842601,"about_ca_system_score_gemma":0.0006909756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111944,"about_ca_topic_score_gemma":0.02121104,"domain_scores_codex":[0.999904,0.00001268713,0.000004867,0.00001704026,0.00004983151,0.00001151764],"domain_scores_gemma":[0.9993846,0.0001028891,0.00002768386,0.00004508029,0.0004023082,0.00003741867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008444498,0.0002152046,0.03221498,0.0003012676,0.00005862353,0.001142068,0.0003835585,0.05358339,0.1348966,0.002510198,0.05368935,0.7201603],"study_design_scores_gemma":[0.0002009141,0.0002762355,0.1669967,0.00006652001,0.0001238744,0.0006941137,0.0009278051,0.6145512,0.149887,0.003136082,0.06302504,0.0001145892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7811068,0.0002737546,0.1538751,0.001673742,0.0005507874,0.0006392829,0.005753683,0.003628408,0.05249843],"genre_scores_gemma":[0.7956035,0.0002328699,0.1716277,0.00008625088,0.00011042,0.0001153929,0.002544125,0.0007538482,0.02892584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555031,"threshold_uncertainty_score":0.05202097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526053137887435,"score_gpt":0.2282164585269083,"score_spread":0.212955927148034,"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."}}