{"id":"W3081319190","doi":"","title":"The Morocco-Nova Scotia Margin conjugate: structure of the morrocan margin from wide-angle seismic data","year":2003,"lang":"en","type":"article","venue":"EGS - AGU - EUG Joint Assembly","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Geology; Margin (machine learning); Seismology; Oceanography; Computer science","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":[0.0002588592,0.0002058878,0.0001846822,0.001351234,0.0005323567,0.0008217354,0.000219674,0.0002076753,0.001898304],"category_scores_gemma":[0.0009277764,0.0001121533,0.0001410339,0.001859309,0.0003460681,0.0002159301,0.0008191051,0.0001573042,0.0003664343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925624,"about_ca_system_score_gemma":0.002125033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5732158,"about_ca_topic_score_gemma":0.7018539,"domain_scores_codex":[0.9998475,0.00001563452,0.000009152282,0.00003978263,0.00003262387,0.00005516187],"domain_scores_gemma":[0.9994948,0.00003752962,0.0001559509,0.00003128488,0.0002070189,0.00007346443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004968956,0.00002175645,0.9438812,0.00007488799,0.0001096474,0.0005764464,0.001001937,0.002081859,0.008508977,0.001183873,0.003233481,0.03882897],"study_design_scores_gemma":[0.000007289775,0.000007852707,0.9973912,0.00001348494,0.000007325876,0.00003431836,0.0001832404,0.0004048491,0.0001029717,0.00002421234,0.001820269,0.000003017063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922833,0.0006187509,0.0001160741,0.0001553968,0.00001302466,0.00001240795,0.001894873,0.0000125607,0.004893646],"genre_scores_gemma":[0.9982667,0.00008707284,0.0001616782,0.00002032553,0.000004702913,0.000004665963,0.0007525092,0.000004332911,0.0006979239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4267842,"threshold_uncertainty_score":0.8585953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491468150186173,"score_gpt":0.2143233206002987,"score_spread":0.189408639098437,"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."}}