{"id":"W7095842540","doi":"","title":"INDEX OF STRESS DATA FOR THE NORTH AMERICAN AND PARTS OF THE PACIFIC PLATE","year":2016,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Data set; Confusion; Data source; Structural basin; Stress (linguistics)","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":[0.0003271576,0.0007951209,0.0003640071,0.01154924,0.0007399705,0.0008932554,0.0005092735,0.0001705189,0.04093022],"category_scores_gemma":[0.002782847,0.0002518208,0.0002414475,0.01778439,0.0002680365,0.0009050563,0.001015532,0.0007211616,0.01038797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237786,"about_ca_system_score_gemma":0.002210913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08395298,"about_ca_topic_score_gemma":0.0863582,"domain_scores_codex":[0.9994327,0.00003541699,0.00009414407,0.00005173666,0.0003245365,0.00006144537],"domain_scores_gemma":[0.995015,0.0002960345,0.0005434584,0.0004187549,0.0034143,0.0003124571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004186229,0.000142822,0.1212005,0.0009574673,0.00006087045,0.0001562258,0.002378237,0.0008991456,0.002982958,0.005506346,0.5836085,0.2816883],"study_design_scores_gemma":[0.00002194163,0.00007783755,0.4696827,0.0001151845,0.00002116678,0.0001318172,0.001692522,0.0001912943,0.0008859202,0.0009719761,0.5261672,0.00004043739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08562593,0.0007058016,0.00214269,0.0003126635,0.0004190051,0.0003612973,0.7343563,0.001102892,0.1749734],"genre_scores_gemma":[0.1884285,0.002198551,0.008081262,0.0001466127,0.0003451354,0.001489217,0.7418674,0.0007867333,0.05665661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08395298,"threshold_uncertainty_score":0.1669286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546509340249789,"score_gpt":0.2973270725572879,"score_spread":0.26186197915479,"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."}}