{"id":"W649199183","doi":"","title":"Survey of Ford Motor Company discharge at Oakville, Lake Ontario, 1984","year":2004,"lang":"en","type":"book","venue":"University of Toronto eBooks","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Environmental science; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0002478642,0.0004936414,0.0003542301,0.004328534,0.001473241,0.0005827981,0.000891757,0.0003034391,0.01145158],"category_scores_gemma":[0.001080875,0.0005755287,0.0002727011,0.01019192,0.0002582697,0.0005506686,0.0005793024,0.0003682279,0.004935207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01361933,"about_ca_system_score_gemma":0.01546719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973716,"about_ca_topic_score_gemma":0.9942795,"domain_scores_codex":[0.9995735,0.00001690104,0.00003052029,0.00006104759,0.0002480261,0.00007006774],"domain_scores_gemma":[0.9987267,0.00004876567,0.0001404586,0.00003426071,0.0009304814,0.0001193154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002373951,0.0001091371,0.4751762,0.000676086,0.00009679383,0.0002686315,0.002853339,0.0009500291,0.001012073,0.0007141504,0.4326585,0.08524771],"study_design_scores_gemma":[0.000009659655,0.0000184374,0.9429653,0.00003432672,0.00001270203,0.0000328131,0.0004711165,0.0001406922,0.000129202,0.00001746551,0.05616036,0.000007967319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2463839,0.005399129,0.001018667,0.001192709,0.0001235022,0.0002661224,0.6610737,0.0003826923,0.08415956],"genre_scores_gemma":[0.2525521,0.00738217,0.002735663,0.0003221599,0.00008468382,0.0003516413,0.2607124,0.0001241862,0.4757351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02628404,"threshold_uncertainty_score":0.09881556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153694586991871,"score_gpt":0.1786148352230286,"score_spread":0.1670778893531099,"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."}}