{"id":"W3083061182","doi":"","title":"Surface Heat Flux Histories in Canada","year":2003,"lang":"en","type":"article","venue":"EGS - AGU - EUG Joint Assembly","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flux (metallurgy); Heat flux; Surface (topology); Materials science; Physics; Mathematics; Heat transfer; Thermodynamics; Geometry; Metallurgy","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":[0.0001942389,0.0002537269,0.0003617342,0.001773855,0.003120143,0.001534537,0.0005645251,0.0004655067,0.003795498],"category_scores_gemma":[0.000759016,0.0002650404,0.0003747476,0.00347469,0.0007214301,0.000526238,0.0006700328,0.0005484084,0.0003852208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03915701,"about_ca_system_score_gemma":0.01793038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968688,"about_ca_topic_score_gemma":0.9983045,"domain_scores_codex":[0.999738,0.000008105259,0.000007168551,0.00003889745,0.00009937691,0.0001083805],"domain_scores_gemma":[0.9993672,0.00004234404,0.00002679084,0.00001414576,0.000463928,0.00008564489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012666,0.0001567985,0.8672171,0.0001838756,0.0002307304,0.0008502954,0.005570203,0.04310928,0.007984904,0.007197576,0.01832572,0.04790693],"study_design_scores_gemma":[0.00001564382,0.00002236021,0.9693996,0.00003557328,0.00002820704,0.00004870013,0.002864855,0.007850316,0.001794728,0.000250889,0.01763607,0.00005312144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976772,0.000286213,0.0001537774,0.0002705496,0.00001047667,0.00001288115,0.007622328,0.00006351164,0.01480819],"genre_scores_gemma":[0.9883591,0.0002055133,0.000191964,0.00004217798,0.000002257408,0.000006705564,0.002688722,0.00002036167,0.008483122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03915701,"threshold_uncertainty_score":0.2841053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472419870148436,"score_gpt":0.2001557400684092,"score_spread":0.1854315413669248,"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."}}