{"id":"W2884280087","doi":"10.1109/msmc.2018.2831418","title":"IEEE SMC 2017 in Banff, Alberta, Canada [Conference Reports]","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; History; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008810393,0.0002269939,0.0002936201,0.00007349166,0.00004869707,0.00005504664,0.0001832637,0.0001243337,0.00001847223],"category_scores_gemma":[0.00002777654,0.0002198746,0.00001656122,0.0001429042,0.0001159009,0.000113276,0.00002828922,0.0001855875,0.00004797864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009070856,"about_ca_system_score_gemma":0.0000682583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1059356,"about_ca_topic_score_gemma":0.7263569,"domain_scores_codex":[0.998763,0.00001362449,0.0003966622,0.0002985173,0.0001651884,0.000363046],"domain_scores_gemma":[0.999208,0.0000360376,0.00007374753,0.0005341821,0.00005817614,0.00008983755],"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":[0.00005193932,0.0001115761,0.01480825,0.001550701,0.000238246,0.002211904,0.001306979,0.01379234,0.04486697,0.006585747,0.892411,0.02206437],"study_design_scores_gemma":[0.0008767082,0.0002050268,0.01534074,0.0005284621,0.00003795898,0.0005525196,0.0003483532,0.04976863,0.008521166,0.0008463024,0.9216406,0.001333584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9066712,0.001700768,0.002880525,0.0001265336,0.005012885,0.0005134997,0.00005226185,0.0003993192,0.08264305],"genre_scores_gemma":[0.9939836,0.0003834779,0.0001751596,0.00002467513,0.0001884397,0.00001897935,0.00001270866,0.00003075046,0.005182216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6204213,"threshold_uncertainty_score":0.900018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178852064892715,"score_gpt":0.2084791846340555,"score_spread":0.1966906639851284,"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."}}