{"id":"W2035466023","doi":"10.1139/l02-073","title":"Semi-automated classification of river ice types on the Peace River using RADARSAT-1 synthetic aperture radar (SAR) imagery","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Manitoba Hydro","keywords":"Remote sensing; Synthetic aperture radar; Geology; Sea ice; Iceberg; Backscatter (email); Oceanography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.0002917105,0.0002238927,0.0002009064,0.001145067,0.0002573875,0.0005494663,0.000242457,0.0001133168,0.0005487344],"category_scores_gemma":[0.0007185884,0.0001332847,0.0001820292,0.0004340093,0.0002181279,0.0003117444,0.0002469431,0.0001687227,0.0002679614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002861363,"about_ca_system_score_gemma":0.0004709057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115838,"about_ca_topic_score_gemma":0.03051279,"domain_scores_codex":[0.9998029,0.00004633946,0.00001448808,0.00004016749,0.00006699798,0.00002915828],"domain_scores_gemma":[0.9993754,0.0001843559,0.0001122751,0.00007134915,0.0002276867,0.00002899281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006320871,0.0002632171,0.1855737,0.0002005552,0.00009009934,0.0002791524,0.00109711,0.04200551,0.1828629,0.0009323334,0.003672734,0.5823907],"study_design_scores_gemma":[0.00006521134,0.0001915707,0.5965071,0.00005068919,0.00006236239,0.0002980678,0.001128091,0.3393261,0.05617865,0.001020407,0.005114545,0.00005731631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356563,0.00006660439,0.05931316,0.00005224355,0.000007267184,0.0001104401,0.001013251,0.0008406983,0.002940102],"genre_scores_gemma":[0.9250384,0.00007420779,0.07044736,0.00002214302,0.000009014359,0.00005376705,0.003019253,0.00004163204,0.001294126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9888416,"threshold_uncertainty_score":0.02218688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033927239821397,"score_gpt":0.1789031190032083,"score_spread":0.1685638466049943,"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."}}