{"id":"W4242409922","doi":"10.1016/s0008-4182(02)80077-1","title":"Program at a Glance","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000241784,0.00006135404,0.0001556191,0.0001082553,0.0004229529,0.00003285565,0.000194625,0.00006712777,0.005936872],"category_scores_gemma":[0.0002985901,0.00005577184,0.00006991299,0.0001518229,0.0003787591,0.0001074327,0.000008323549,0.0001028099,0.0001220845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301778,"about_ca_system_score_gemma":0.0002642849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016537,"about_ca_topic_score_gemma":0.01175879,"domain_scores_codex":[0.9991462,0.0001059057,0.0001720398,0.00006423389,0.0001132135,0.0003983605],"domain_scores_gemma":[0.9990588,0.00005992458,0.0001128644,0.00007131681,0.0001145116,0.0005825234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002122526,0.00009349306,0.8028785,0.00001174283,0.0001188419,0.03507438,0.06159042,0.000006916194,0.00001040797,0.00292676,0.07664486,0.02062248],"study_design_scores_gemma":[0.00083965,0.001279629,0.1756125,0.0000512111,0.00004158776,0.06336746,0.006741996,0.000007142369,0.00001781617,0.002287387,0.7493892,0.0003644046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6640379,0.001838895,4.871471e-7,0.001850688,0.0003828842,0.00005283863,0.000002417253,0.000003092071,0.3318308],"genre_scores_gemma":[0.9898584,0.00001956663,0.00015433,0.00008499918,0.0002691809,0.000001850744,1.839978e-7,0.00000481977,0.009606599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6727443,"threshold_uncertainty_score":0.9949718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07125741060143213,"score_gpt":0.3323032452993379,"score_spread":0.2610458346979058,"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."}}