{"id":"W2731761143","doi":"10.29173/cais875","title":"Welcome from the CAIS/ACSI & LRI/IRB Conference Co-Chairs","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001224635,0.0004329647,0.0006433275,0.0001596419,0.0003961075,0.005023571,0.005956359,0.0001935809,0.00009766818],"category_scores_gemma":[0.01323132,0.0002438,0.0002365546,0.0005056995,0.0007105224,0.01574062,0.001419745,0.0003455947,0.0000470061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007517119,"about_ca_system_score_gemma":0.0004609477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001758726,"about_ca_topic_score_gemma":0.00001878467,"domain_scores_codex":[0.9968013,0.00004844941,0.001074117,0.0005020593,0.0009409531,0.0006331147],"domain_scores_gemma":[0.9656557,0.0006719616,0.001870584,0.0007073053,0.03089185,0.0002025268],"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":[0.000145395,0.0003992413,0.0776244,0.0009602106,0.0004180775,0.000002385862,0.2729526,0.00001590313,0.0247575,0.4965753,0.04456502,0.08158398],"study_design_scores_gemma":[0.003789378,0.0005617206,0.0756499,0.004842725,0.0002367232,0.0001692641,0.006414045,0.01705322,0.120924,0.2303371,0.5374839,0.002538123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887143,0.0002161776,0.05606183,0.01328946,0.0007959641,0.0007076412,0.0002206343,0.0003013998,0.04126395],"genre_scores_gemma":[0.992678,0.00008352008,0.005339658,0.0006422957,0.0001794456,0.00002378329,0.00000355188,0.00002314941,0.001026573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4929188,"threshold_uncertainty_score":0.9994219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324590253793411,"score_gpt":0.2549149139117313,"score_spread":0.2224558885323902,"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."}}