{"id":"W7055211004","doi":"","title":"Canadian River Breaks CCD","year":2000,"lang":"en","type":"other","venue":"The Portal to Texas History (University of North Texas)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Scale (ratio); Index (typography); Distribution (mathematics)","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":[0.0005998874,0.00110491,0.0006177677,0.006085702,0.006135763,0.003669375,0.001996459,0.0006475408,0.2074801],"category_scores_gemma":[0.003499861,0.0006217276,0.0005450555,0.01363019,0.0004286967,0.001039668,0.001106816,0.001684608,0.05121375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02287363,"about_ca_system_score_gemma":0.0584151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907437,"about_ca_topic_score_gemma":0.9954549,"domain_scores_codex":[0.9985648,0.00004115828,0.00004399304,0.0002051639,0.0008231922,0.0003217196],"domain_scores_gemma":[0.9959317,0.00006704769,0.00009851005,0.00017521,0.003374774,0.0003527427],"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":[0.00001193881,0.000005021334,0.000857781,0.00003458643,0.00000351978,0.00001114731,0.00005230848,0.00005469511,0.0000238641,0.002318781,0.9894057,0.007220767],"study_design_scores_gemma":[0.00000839907,0.000003014911,0.01571638,0.00004716241,0.000005734741,0.00001761732,0.0002194358,0.0000809399,0.00007335751,0.000250823,0.9835625,0.00001457661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00165984,0.0005547965,0.0005995381,0.0009864211,0.0004179185,0.0001414791,0.7380296,0.0006721427,0.2569383],"genre_scores_gemma":[0.01487653,0.001843681,0.00349664,0.0006504133,0.00008560655,0.000275123,0.5714947,0.0006260421,0.4066513],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2074801,"threshold_uncertainty_score":0.6940902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007537011756831484,"score_gpt":0.1852818551899875,"score_spread":0.177744843433156,"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."}}