{"id":"W4406493563","doi":"10.1016/0967-0653(94)91308-0","title":"10.1016/0967-0653(94)91308-0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subduction; Geology; Accretionary wedge; Margin (machine learning); Thickening; Tectonics; Seismology; Sediment; Petrology; Geomorphology","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":["insufficient_payload"],"category_scores_codex":[0.001268031,0.003236545,0.002151432,0.003078523,0.003441502,0.004213927,0.00372922,0.006354017,0.9915811],"category_scores_gemma":[0.00205684,0.001387402,0.001629128,0.002806781,0.002734732,0.006474449,0.004230826,0.003067323,0.9946985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327422,"about_ca_system_score_gemma":0.001061806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007035055,"about_ca_topic_score_gemma":0.006451134,"domain_scores_codex":[0.9992748,0.00004638168,0.00006310645,0.0002660167,0.0001737218,0.0001759801],"domain_scores_gemma":[0.9974161,0.0006113294,0.0001256079,0.0003218786,0.000582336,0.0009427198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003879238,0.0003205275,0.001269723,0.000587338,0.0000447354,0.0003065287,0.000142389,0.0005212717,0.002032231,0.004931877,0.4532593,0.5361961],"study_design_scores_gemma":[0.00007642533,0.0001522106,0.00120277,0.0004584873,0.00001902791,0.0004251456,0.0002081644,0.0002034411,0.0003182604,0.0006698312,0.9962328,0.0000332685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004323886,0.0002512223,0.0004874525,0.0003701718,0.0002662367,0.0001176627,0.0006686579,0.0008420569,0.9965641],"genre_scores_gemma":[0.0005831815,0.0001981152,0.0003133288,0.000269679,0.0000699243,0.0000673436,0.0003931802,0.0001869366,0.9979183],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008418858,"threshold_uncertainty_score":0.0139882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175698855229447,"score_gpt":0.1557577195752646,"score_spread":0.1440007310229701,"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."}}