{"id":"W7033865896","doi":"","title":"St. Lawrence Routing Ice Mngt. Support Model Project. NRC Input, Year 1","year":2002,"lang":"en","type":"report","venue":"NPARC","topic":"Space Science and Extraterrestrial Life","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Routing (electronic design automation); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008355288,0.001099423,0.0007655158,0.001576265,0.001231341,0.002965006,0.002232256,0.001202199,0.5756397],"category_scores_gemma":[0.003279978,0.00101673,0.0003840884,0.006067478,0.0002506425,0.002220792,0.0008886754,0.001316659,0.4141734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004089574,"about_ca_system_score_gemma":0.007847386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2768273,"about_ca_topic_score_gemma":0.3141953,"domain_scores_codex":[0.9993957,0.00004608577,0.00003030336,0.0000977135,0.0003558481,0.00007433112],"domain_scores_gemma":[0.9980201,0.0002212429,0.00008179993,0.0002234622,0.001229267,0.0002242168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004084804,0.00001701418,0.0003244119,0.00006183442,0.000002508343,0.00001113187,0.00001315172,0.0001465918,0.00006217248,0.001325143,0.9847972,0.013198],"study_design_scores_gemma":[0.00002505571,0.00001026471,0.000990689,0.00005079996,0.000004749017,0.00001356114,0.00007499067,0.0003639812,0.0003216559,0.0007581818,0.9973782,0.000007823222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009816696,0.0003897533,0.0009194241,0.004051168,0.0005698553,0.0001004509,0.5269108,0.004117155,0.4619596],"genre_scores_gemma":[0.004015439,0.001103193,0.001872131,0.0004103645,0.00006296824,0.0000880607,0.1427727,0.002056925,0.8476182],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5756397,"threshold_uncertainty_score":0.6052984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06826045648785597,"score_gpt":0.3140224331666576,"score_spread":0.2457619766788016,"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."}}