{"id":"W4289913087","doi":"10.1109/newcas52662.2022.9842286","title":"Welcome","year":2022,"lang":"en","type":"article","venue":"2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Alliance; Political science; Media studies; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001919189,0.0003453474,0.0003197125,0.0005223044,0.0002904596,0.00005416656,0.0007693442,0.000132075,0.002576114],"category_scores_gemma":[0.00002904337,0.0004036895,0.0001409073,0.0008247679,0.0001134299,0.0001681542,0.0002005668,0.00117645,0.0002511664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484804,"about_ca_system_score_gemma":0.00009331324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004319036,"about_ca_topic_score_gemma":0.00003696994,"domain_scores_codex":[0.9981415,0.00003872637,0.0004472538,0.0003996973,0.0004304523,0.0005423867],"domain_scores_gemma":[0.9990889,0.00008286042,0.00006695549,0.0005501269,0.00009538927,0.0001157898],"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":[0.00007828514,0.0003645531,0.001626313,0.000160841,0.0007715602,0.000604071,0.001389498,0.1399889,0.0285957,0.3085892,0.4900154,0.02781572],"study_design_scores_gemma":[0.001354047,0.0003887457,0.00131428,0.00009090229,0.00006460498,0.001221031,0.001304048,0.2245817,0.004096883,0.008831206,0.7551369,0.001615659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8081614,0.00110143,0.09338478,0.008786439,0.01968492,0.000933199,0.00050624,0.007366955,0.0600746],"genre_scores_gemma":[0.9949443,0.00004720797,0.0005484782,0.0003093603,0.0002579225,0.0003118228,0.0001016683,0.00007687097,0.003402395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.299758,"threshold_uncertainty_score":0.9998415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296336172021153,"score_gpt":0.2401200681472776,"score_spread":0.207156706427066,"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."}}