{"id":"W1575731028","doi":"","title":"The Tooth of Time: How do passive margins become active?","year":2012,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Passive margin; Geology; Seismology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000264951,0.000132848,0.0001270851,0.00005299771,0.0006719319,0.00009413647,0.0007564847,0.00002888477,0.00009261646],"category_scores_gemma":[0.0007706028,0.00009040726,0.000041643,0.0007169346,0.0006581324,0.0007200644,0.0001357749,0.0001376797,0.00002015614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175003,"about_ca_system_score_gemma":0.0007280011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04054486,"about_ca_topic_score_gemma":0.05481663,"domain_scores_codex":[0.997878,0.00009201537,0.000143802,0.0003488213,0.0008100646,0.0007272539],"domain_scores_gemma":[0.9988913,0.0002758603,0.0001499072,0.0004084204,0.0000474336,0.0002271032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008207535,0.00003212245,0.000536497,0.000003942433,6.25733e-7,0.000006960666,0.0002906481,0.000005986691,0.9688676,0.001392355,0.01023221,0.01862283],"study_design_scores_gemma":[0.0003130016,0.0001319085,0.2493569,0.00002304755,0.00001299206,0.00008843601,0.00143143,0.0004973153,0.3468657,0.0002266441,0.4005392,0.0005133669],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928076,0.0000138099,0.0000814362,0.002615759,0.001623547,0.0001880556,0.00006177008,0.00001828332,0.002589787],"genre_scores_gemma":[0.9940535,0.00004409199,0.00002026395,0.001507768,0.00009374449,0.00001492483,5.21927e-7,0.000007168625,0.004258014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6220019,"threshold_uncertainty_score":0.9658442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735887157836507,"score_gpt":0.2298524099289425,"score_spread":0.2124935383505775,"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."}}