{"id":"W4243852512","doi":"10.1088/1755-1315/565/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Excellence; Library science; Commercialization; Engineering; Political science; Computer science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001704706,0.0009994074,0.0007695965,0.002146203,0.002993865,0.004138957,0.001685373,0.001741707,0.5343587],"category_scores_gemma":[0.008875071,0.000333301,0.0006325844,0.001776397,0.000723347,0.003522942,0.00257316,0.002922808,0.3561953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059289,"about_ca_system_score_gemma":0.003303868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003226501,"about_ca_topic_score_gemma":0.003435331,"domain_scores_codex":[0.9987398,0.0001713066,0.00009897981,0.0002523462,0.0005956985,0.0001419763],"domain_scores_gemma":[0.9959947,0.0005443895,0.0001413159,0.000362594,0.002246552,0.0007104701],"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":[0.00003215783,0.00002137879,0.0001287013,0.0001179399,0.000002245485,0.00006509214,0.0001069946,0.000043678,0.0001193437,0.004354375,0.9528834,0.04212468],"study_design_scores_gemma":[0.00000325275,0.00001306499,0.0001920732,0.00007245453,0.000001108865,0.00006515875,0.00008725402,0.00001498263,0.00005098829,0.001015669,0.9984805,0.00000347541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002013966,0.01055186,0.005718814,0.02962621,0.1242549,0.0007374571,0.01295792,0.002075203,0.8120637],"genre_scores_gemma":[0.008035295,0.006469504,0.00299674,0.008125439,0.01588817,0.0004357336,0.01311131,0.0008843825,0.9440534],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5343587,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05215576437707153,"score_gpt":0.2742579843563538,"score_spread":0.2221022199792823,"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."}}