{"id":"W4323789182","doi":"10.33137/ic.v26i.39616","title":"Foreword","year":2022,"lang":"en","type":"article","venue":"Italian Canadiana","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":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002007835,0.00004749668,0.00006424673,0.00006118124,0.001366235,0.0000265477,0.0001656349,0.00001343109,0.003225748],"category_scores_gemma":[0.0000581365,0.00005506879,0.00004081612,0.0002475919,0.00009000678,0.00007999799,0.00003534573,0.00006921211,0.00007442188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295745,"about_ca_system_score_gemma":0.000339157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.167988,"about_ca_topic_score_gemma":0.5713089,"domain_scores_codex":[0.9991977,0.00006806111,0.00006737194,0.00009988796,0.0002386257,0.0003283496],"domain_scores_gemma":[0.9996027,0.0000276499,0.00002117592,0.0001019881,0.00001474765,0.0002317404],"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":[0.000006119292,0.00002319778,0.02202088,0.000003224083,0.00003540584,0.00009502099,0.06838125,0.00001898394,0.000003148893,0.137496,0.7461081,0.02580875],"study_design_scores_gemma":[0.00006347914,0.00002347285,0.006866862,8.760389e-7,0.000004155863,0.00000105336,0.02933607,0.000002363256,9.938077e-7,0.001707269,0.9619111,0.00008228103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3309295,0.0006704113,0.000006554612,0.01733327,0.0007851984,0.0001754604,0.0002144535,0.00006859369,0.6498166],"genre_scores_gemma":[0.9651906,0.000004294339,0.00001664303,0.002597373,0.0001384994,0.00002012853,0.000004077812,0.000005882293,0.03202254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6342611,"threshold_uncertainty_score":0.9999338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350099492741117,"score_gpt":0.292805243908676,"score_spread":0.2693042489812649,"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."}}