{"id":"W7100899385","doi":"","title":"TITLE: A DEEP SEISMIC ANALYSIS OF THE FLEMISH CAP CONTINENTAL MARGIN OFF NEWFOUNDLAND, CANADA","year":2013,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flemish; Acknowledgement; Permission; Margin (machine learning); Continental margin; Field (mathematics)","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":[0.0002091103,0.000346369,0.0003366006,0.001841517,0.001894774,0.001665349,0.0007029005,0.0004560565,0.004972554],"category_scores_gemma":[0.0006739018,0.000197927,0.0002288329,0.003518007,0.0006018514,0.0004356231,0.0006243691,0.0004805818,0.0005638384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02541002,"about_ca_system_score_gemma":0.03010035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967014,"about_ca_topic_score_gemma":0.9990226,"domain_scores_codex":[0.9998016,0.000006479797,0.000009099714,0.00003990631,0.00006801525,0.00007495804],"domain_scores_gemma":[0.9994136,0.00002851247,0.00005063293,0.00001889721,0.0003936423,0.00009471085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004803991,0.0001053792,0.6967707,0.0007987539,0.0003423465,0.002651821,0.008975931,0.01163854,0.01305937,0.006224497,0.09402742,0.1649248],"study_design_scores_gemma":[0.000008745938,0.00001057036,0.9632345,0.0001460402,0.00003619411,0.00009203947,0.003372115,0.001499327,0.0003991715,0.0001278312,0.03104383,0.00002956947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134677,0.003477208,0.001142106,0.001754486,0.0001242884,0.00009566449,0.03222758,0.00009829747,0.04761276],"genre_scores_gemma":[0.971158,0.001325769,0.001089261,0.0001765833,0.00001907578,0.00002150099,0.007249885,0.00005626664,0.01890372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02541002,"threshold_uncertainty_score":0.1843635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004556295899787308,"score_gpt":0.1932392160724488,"score_spread":0.1886829201726615,"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."}}