{"id":"W4405522446","doi":"10.1109/cipae64326.2024.00005","title":"Message from General Chair: CIPAE 2024","year":2024,"lang":"en","type":"article","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005075269,0.00007807415,0.0000724542,0.00004372429,0.00002406414,0.0007629922,0.0005043868,0.00003317665,0.0008368326],"category_scores_gemma":[0.00000288694,0.00006229016,0.00004993423,0.0001335775,0.00001519543,0.0008556541,0.0002962922,0.00006487886,0.002055954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001452189,"about_ca_system_score_gemma":0.00004293957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464156,"about_ca_topic_score_gemma":0.00003172561,"domain_scores_codex":[0.9993237,0.000006557841,0.0001018893,0.0003379641,0.00007779739,0.0001521247],"domain_scores_gemma":[0.9994991,0.00003297934,0.000006791314,0.0003761709,0.00000682316,0.00007814198],"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":[5.075108e-7,0.00001303707,0.0000739794,0.000006366682,0.00002162085,0.00006705755,0.00009353988,0.000004408627,0.0001024247,0.6011689,0.2671806,0.1312677],"study_design_scores_gemma":[0.0000707962,0.00001671629,0.0003528543,0.00001504152,0.000002941787,0.000006644438,0.000006034266,0.06449972,0.0007980284,0.03879904,0.89526,0.0001721275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006572401,0.001529437,0.31243,0.00275873,0.002300115,0.00006290749,0.00009264764,0.0006848568,0.6735689],"genre_scores_gemma":[0.80322,0.00005358206,0.03952688,0.003553191,0.0007891373,0.00002365531,0.00007643148,0.00001931211,0.1527379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7966475,"threshold_uncertainty_score":0.9987211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235932717628762,"score_gpt":0.240303051857009,"score_spread":0.2179437246807214,"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."}}