{"id":"W4232093699","doi":"10.1109/mise.2019.00007","title":"MiSE 2019 Program Committee","year":2019,"lang":"en","type":"article","venue":"","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University; University of Waterloo; University of Ottawa","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01949206,0.001273737,0.0008889917,0.003516987,0.003223534,0.007630405,0.003057383,0.009260735,0.1353718],"category_scores_gemma":[0.01797006,0.0006661281,0.001361838,0.001351236,0.0008729737,0.002522319,0.005974326,0.004886245,0.1001163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003443207,"about_ca_system_score_gemma":0.02948383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007453,"about_ca_topic_score_gemma":0.01839289,"domain_scores_codex":[0.9930177,0.001048839,0.0003442425,0.0003820784,0.003822194,0.00138501],"domain_scores_gemma":[0.976337,0.001575716,0.0008611085,0.001189767,0.01408488,0.005951525],"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":[0.00008684028,0.00009826386,0.0002519418,0.000139175,0.000007200455,0.00003607029,0.00003163952,0.00009107668,0.0003225268,0.004392731,0.9776193,0.01692332],"study_design_scores_gemma":[0.00001710856,0.0000238481,0.00051489,0.000097672,0.000003819378,0.00001436327,0.00003268422,0.00006148809,0.0002261912,0.0005836817,0.9984189,0.00000532348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00488378,0.005272516,0.007979547,0.2353171,0.09850108,0.005805496,0.02618981,0.00211059,0.6139401],"genre_scores_gemma":[0.007127661,0.002187716,0.005292743,0.0333519,0.008693609,0.001938916,0.01395803,0.0006509256,0.9267985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8646282,"threshold_uncertainty_score":0.4528638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516829984827425,"score_gpt":0.3363972970829292,"score_spread":0.311228997234655,"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."}}