{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001466494,0.0009726565,0.0008385209,0.0008428564,0.002298125,0.004073328,0.001601318,0.01100362,0.3310458],"category_scores_gemma":[0.00515872,0.0004266758,0.0006106529,0.000944963,0.0005781176,0.002290225,0.001592304,0.007567208,0.2920463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771039,"about_ca_system_score_gemma":0.00346154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004554442,"about_ca_topic_score_gemma":0.006100155,"domain_scores_codex":[0.998988,0.0000842642,0.00005858448,0.0002062473,0.0004776001,0.0001853566],"domain_scores_gemma":[0.9966822,0.0002759515,0.0001053587,0.0001380723,0.00198182,0.0008165796],"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":[0.00001863833,0.000006032708,0.00004266405,0.00002370322,7.071313e-7,0.00002229544,0.000004646155,0.000006670261,0.00005936725,0.0001585184,0.9967465,0.002910325],"study_design_scores_gemma":[0.000009699068,0.00001163869,0.0003795375,0.00003970073,0.000001624309,0.00002373225,0.00003466021,0.00003371399,0.00009970622,0.0001374431,0.9992223,0.000006269844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001078786,0.003237634,0.001370393,0.3379138,0.3851151,0.00114944,0.004211366,0.001746126,0.2641773],"genre_scores_gemma":[0.004107893,0.001110955,0.0004173954,0.08186301,0.03917632,0.0003723607,0.001323199,0.0004229981,0.8712059],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3310458,"threshold_uncertainty_score":0.954182,"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."}}