{"id":"W2185226347","doi":"10.4095/213236","title":"New interpretations of industry seismic lines, southern Quebec Appalachians foreland","year":2002,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Foreland basin; Geology; Seismology; Tectonics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318549,0.0003061896,0.000105496,0.002468674,0.001228763,0.001189881,0.0003757311,0.0002877122,0.006264031],"category_scores_gemma":[0.0008499423,0.0001604473,0.0001001522,0.003366341,0.0006838089,0.000324767,0.0003542955,0.0004003315,0.0003443806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009433103,"about_ca_system_score_gemma":0.005923537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9787421,"about_ca_topic_score_gemma":0.9949773,"domain_scores_codex":[0.9998701,0.00001123054,0.000005059862,0.00001956626,0.00005794197,0.00003623258],"domain_scores_gemma":[0.999633,0.00003636209,0.00004429224,0.00001879553,0.000235851,0.0000317561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001822585,0.0000665497,0.5056828,0.0002252593,0.00005621941,0.003218598,0.01745047,0.009816443,0.01775054,0.01234556,0.04345972,0.3897457],"study_design_scores_gemma":[0.00001981495,0.00001649354,0.8597345,0.0001754383,0.00002952993,0.0004795798,0.009670992,0.005121361,0.001662183,0.001029123,0.1220227,0.000038345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833253,0.002067443,0.003685869,0.001388993,0.00006270126,0.0001579125,0.006723586,0.0002734034,0.1023147],"genre_scores_gemma":[0.9701296,0.0008040198,0.005668645,0.0001462225,0.0000151635,0.00005583825,0.002845755,0.00004257343,0.02029217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02125788,"threshold_uncertainty_score":0.06844229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348784517156973,"score_gpt":0.2385974496234157,"score_spread":0.205109604451846,"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."}}