{"id":"W3194578539","doi":"10.1109/mwscas.2018.8624058","title":"Welcome to MWSCAS 2018","year":2018,"lang":"en","type":"article","venue":"","topic":"Political Developments and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Windsor; Computer science; Political science; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002428755,0.001090741,0.0007014621,0.001165664,0.003778711,0.007252434,0.001408576,0.003312204,0.584731],"category_scores_gemma":[0.01339903,0.0003549382,0.0008925096,0.0007334656,0.000561304,0.002528209,0.004548266,0.005526017,0.3853238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579897,"about_ca_system_score_gemma":0.00218337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594624,"about_ca_topic_score_gemma":0.004518581,"domain_scores_codex":[0.9982942,0.000437903,0.00006377065,0.0001735446,0.000658042,0.0003726213],"domain_scores_gemma":[0.9910282,0.0007761118,0.0003964343,0.000343301,0.002559626,0.004896319],"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":[0.00007211269,0.00001609484,0.00003371558,0.0000477574,0.000001696814,0.0000651623,0.0000364035,0.00000809535,0.00010447,0.0004705427,0.9908172,0.008326895],"study_design_scores_gemma":[0.000007000275,0.00001746507,0.0001579925,0.00002728769,7.697083e-7,0.0000179213,0.0000963715,0.00001654856,0.00005428771,0.0002418571,0.9993586,0.000003868637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002383523,0.003423405,0.002125183,0.0713603,0.4525137,0.0008223904,0.005676938,0.004001053,0.4576935],"genre_scores_gemma":[0.006738679,0.0008485868,0.0006453831,0.006248154,0.03122734,0.0005027327,0.002151623,0.001326166,0.9503112],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.584731,"threshold_uncertainty_score":0.5923308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05100198295244497,"score_gpt":0.361256736632936,"score_spread":0.310254753680491,"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."}}