{"id":"W4235223198","doi":"10.1037/e505342010-001","title":"A Step Ahead, Third Quarter 2009","year":2009,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001313544,0.001917715,0.001708615,0.001055902,0.0003209956,0.0006096172,0.004111807,0.001364492,0.006038803],"category_scores_gemma":[0.0002119832,0.001862015,0.000407219,0.001072886,0.0003262685,0.0008287184,0.0003930965,0.002560275,0.265571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853366,"about_ca_system_score_gemma":0.0003327291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294851,"about_ca_topic_score_gemma":0.002499906,"domain_scores_codex":[0.991134,0.0005963841,0.001633305,0.002544127,0.002010077,0.002082066],"domain_scores_gemma":[0.9895342,0.0002223393,0.001015647,0.008204088,0.0001413577,0.0008823466],"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":[0.0003266745,0.001046371,0.0000029491,0.0002063706,0.0002615209,0.0006673171,0.000009469429,0.000002255425,0.0000369543,0.000008773604,0.9968659,0.0005654281],"study_design_scores_gemma":[0.001643193,0.0004033117,0.0001045855,0.0002678517,0.0007470999,0.000394321,0.00002589251,0.00001483164,0.000007232846,0.0001168478,0.994184,0.002090792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002126016,0.001263493,0.00002405122,0.0003944675,0.001056273,0.001290079,0.9952024,0.0003809974,0.0003861403],"genre_scores_gemma":[0.000001200296,0.0003221232,0.0007150497,0.003505459,0.001523967,0.0001509515,0.99348,0.0001970174,0.0001042748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2595322,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286750940628044,"score_gpt":0.3109154195760784,"score_spread":0.288047910169798,"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."}}