{"id":"W4210598645","doi":"10.1109/globecom46510.2021.9685177","title":"Industry Forum and Exhibits Committee","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Global Communications Conference (GLOBECOM)","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003142811,0.0001906562,0.000287574,0.00003316382,0.001585343,0.0003835136,0.0008801685,0.0003710182,0.0006245714],"category_scores_gemma":[0.0004399216,0.0002093545,0.00008198334,0.0006395218,0.0008769422,0.0003859918,0.000732834,0.0006310336,0.0001483759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140247,"about_ca_system_score_gemma":0.0007574795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789609,"about_ca_topic_score_gemma":0.06240725,"domain_scores_codex":[0.9979608,0.0006018372,0.0003165783,0.0002963849,0.0003251345,0.0004992723],"domain_scores_gemma":[0.9975399,0.0002692917,0.0001182659,0.001309296,0.0004849437,0.0002782837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001382316,0.0004319359,0.3223404,0.00002083731,0.0001650172,0.00001981583,0.008748907,0.000002954542,0.0001091534,0.5161762,0.05798515,0.0939858],"study_design_scores_gemma":[0.001075737,0.00007993614,0.08169428,0.0002360884,0.0001302391,0.00003300207,0.1946725,0.0001385397,0.0002126967,0.03485054,0.685977,0.0008994813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.30347,0.005942516,0.0003411427,0.07742031,0.0004702554,0.0003205128,0.0001973655,0.0001312938,0.6117066],"genre_scores_gemma":[0.9913191,0.003933198,0.001312505,0.001649377,0.00007888035,0.00002670318,0.00003192278,0.000007311347,0.001641072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.687849,"threshold_uncertainty_score":0.9997144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08290748190122994,"score_gpt":0.3700107044211747,"score_spread":0.2871032225199447,"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."}}