{"id":"W2040939495","doi":"10.1016/j.coldregions.2013.06.003","title":"Quantifying steep channel freezeup processes","year":2013,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Geology; Environmental science; Hydrology (agriculture); Geotechnical engineering; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002170332,0.0001151666,0.0001233365,0.0002156867,0.0006519835,0.00004165749,0.000532996,0.0001360662,0.0003271671],"category_scores_gemma":[0.0001466708,0.00009392847,0.000009994003,0.002331259,0.003867094,0.0006625945,0.0001821024,0.0001500266,0.0004622425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002986062,"about_ca_system_score_gemma":0.00007457934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008064729,"about_ca_topic_score_gemma":0.0001757067,"domain_scores_codex":[0.9987435,0.000005841952,0.0001351614,0.0004576437,0.0002329053,0.0004249859],"domain_scores_gemma":[0.9995018,0.0000274639,0.00005016558,0.0002530305,0.00007076209,0.00009680651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001570423,0.0005285272,0.5049991,0.0002203044,0.00003545123,0.00008405154,0.002331222,0.0001965126,0.3639396,0.08691632,0.01468341,0.02604985],"study_design_scores_gemma":[0.002530284,0.001815024,0.06819381,0.0002752103,0.0001426865,0.0006487445,0.007271146,0.007514267,0.4707122,0.1370949,0.3008339,0.00296782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830101,0.0003800356,0.0004042551,0.009399587,0.00008286282,0.0003077794,7.551378e-7,0.000237032,0.006177625],"genre_scores_gemma":[0.9986457,0.000183489,0.0003216597,0.0003710579,0.000008868744,0.0001044328,4.84245e-7,0.000005613035,0.0003587128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4368053,"threshold_uncertainty_score":0.9988438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195140132921099,"score_gpt":0.2314496524871846,"score_spread":0.2119356391950747,"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."}}