{"id":"W4230140158","doi":"10.1190/tle36050447.1","title":"Reviews","year":2017,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Construction Association","funders":"","keywords":"Library science; Art history; Humanities; Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004277433,0.00004640448,0.00008933732,0.0000171705,0.0007454984,0.0001527083,0.0003140322,0.00001670389,0.00172203],"category_scores_gemma":[0.0001155242,0.00002527177,0.00006459319,0.00003680175,0.00006723314,0.0001019958,0.000006443327,0.00008243924,0.009711348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":6.837173e-7,"about_ca_system_score_gemma":0.00000401018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000289837,"about_ca_topic_score_gemma":0.001825747,"domain_scores_codex":[0.9996235,0.00004457106,0.00007685679,0.00008349652,0.00006236032,0.0001091556],"domain_scores_gemma":[0.9994739,0.00003247617,0.0000745764,0.0003771247,0.000006847633,0.00003506434],"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":[0.000003781315,0.000002317834,0.152426,0.000005744884,0.00001216614,0.00000300107,0.000180375,0.00003925169,0.00005885554,0.0000998658,0.01837671,0.828792],"study_design_scores_gemma":[0.00004593555,0.00001133238,0.3231987,0.00001144739,0.00001420385,0.000004686454,0.00001568809,0.001345757,0.0001070186,0.0003125802,0.6748695,0.00006311743],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4105324,0.003421241,0.000408268,0.007082749,0.001501254,0.0001985171,0.000009422705,0.00009942408,0.5767466],"genre_scores_gemma":[0.9783744,0.000257326,0.00005396132,0.0004160476,0.000227262,2.961891e-7,0.000002425533,9.879329e-7,0.02066727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8287289,"threshold_uncertainty_score":0.9991905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05730318926892899,"score_gpt":0.2809876251229352,"score_spread":0.2236844358540062,"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."}}