{"id":"W4246303145","doi":"10.1097/00006324-200406000-00018","title":"CALENDAR OF EVENTS","year":2004,"lang":"en","type":"paratext","venue":"Optometry and Vision Science","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001427701,0.000150807,0.0003142912,0.0004673721,0.0009768734,0.00004645334,0.0004889587,0.0001437644,0.0009507212],"category_scores_gemma":[0.0003477603,0.0001241039,0.00006533514,0.001511149,0.002326994,0.0004562458,0.0002429661,0.0001579548,0.0006325078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006487215,"about_ca_system_score_gemma":0.0007062932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003765846,"about_ca_topic_score_gemma":0.00001605665,"domain_scores_codex":[0.997765,0.00006449388,0.0002468436,0.0003902851,0.001127719,0.0004056373],"domain_scores_gemma":[0.9990141,0.0001235777,0.0001924947,0.0002153212,0.0002167043,0.000237817],"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":[0.0003173249,0.001686955,0.03578895,0.002584985,0.000234847,0.00002345951,0.1952298,0.00008308623,0.005491719,0.0091385,0.3913494,0.3580709],"study_design_scores_gemma":[0.001122601,0.000627708,0.07135113,0.001713941,0.00005892305,0.000004412866,0.01393194,0.000005139764,0.001948671,0.001123825,0.9071086,0.001003121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.500106,0.007619839,0.000378737,0.0009743841,0.004125113,0.0004609057,0.0007160165,0.00003074709,0.4855882],"genre_scores_gemma":[0.9469182,0.002871446,0.0002170892,0.0001048771,0.0001597826,0.000002333483,0.000002890246,0.000006130613,0.04971723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5157592,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783913942663313,"score_gpt":0.4832549980404547,"score_spread":0.4554158586138216,"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."}}