{"id":"W4233356067","doi":"10.1002/rcm.1290101405","title":"Calender of events","year":2009,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Chemistry; Citation; World Wide Web; Library science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005430943,0.00006556205,0.0001532543,0.0002373227,0.0002277399,0.00001050294,0.0007151969,0.0000497554,0.0001675309],"category_scores_gemma":[0.0002136037,0.00006843539,0.00005666152,0.0008860946,0.0001900279,0.0001312189,0.00006242555,0.0001498043,0.0000184844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007747617,"about_ca_system_score_gemma":0.0000637647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185765,"about_ca_topic_score_gemma":0.0004954087,"domain_scores_codex":[0.9990059,0.0002443559,0.0002255997,0.00009114789,0.0002141304,0.0002189093],"domain_scores_gemma":[0.9988586,0.0002036598,0.00008012626,0.000765355,0.00004576939,0.00004650028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003669445,0.001638567,0.4467667,0.00001904377,0.0001005838,0.000001904304,0.04786817,0.00001412274,0.003609698,0.4378743,0.002503989,0.05956616],"study_design_scores_gemma":[0.0005205885,0.0001430657,0.8879152,0.00005113712,0.00001715992,6.075034e-7,0.01488074,0.00002484776,0.0002995548,0.08690322,0.009028533,0.0002153767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3520242,0.006630565,0.0005793135,0.01775697,0.0001014279,0.0003147928,0.00001010828,0.00008111295,0.6225015],"genre_scores_gemma":[0.9879738,0.003569112,0.00792241,0.0001424022,0.00002634097,0.000004977069,0.000002883662,0.00000331492,0.0003547214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6359496,"threshold_uncertainty_score":0.2790714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398283084985026,"score_gpt":0.3703724560704001,"score_spread":0.3163896252205498,"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."}}