{"id":"W4410705323","doi":"10.29173/cais1930","title":"Understanding Information-Sharing of Artist-Researchers","year":2025,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Artistic and Creative Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Data science; World Wide Web; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001093584,0.0002544419,0.0005353084,0.0003658052,0.0004358919,0.002721924,0.001415693,0.0001599762,0.0004668501],"category_scores_gemma":[0.01357668,0.0002120342,0.0002158447,0.0003683055,0.002802313,0.009822234,0.0009104756,0.0004606588,0.000008601273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436628,"about_ca_system_score_gemma":0.0006155106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541749,"about_ca_topic_score_gemma":0.00006999336,"domain_scores_codex":[0.997694,0.00003836683,0.0008024461,0.0002230508,0.0006757379,0.0005664321],"domain_scores_gemma":[0.9611533,0.0003894786,0.0007219229,0.000194654,0.03740635,0.0001342987],"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":[0.0001815953,0.0001125455,0.03704067,0.002026841,0.0002517189,4.797285e-7,0.0604614,0.000005639158,0.0004249072,0.8881096,0.008268137,0.003116456],"study_design_scores_gemma":[0.001672792,0.00076206,0.03148314,0.005947338,0.0003866226,0.000009661735,0.2834819,0.003194964,0.01747684,0.1349795,0.5199801,0.0006250307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3115125,0.001268366,0.0006957643,0.007987952,0.0002296514,0.0006137561,0.0007614649,0.00002681963,0.6769037],"genre_scores_gemma":[0.9778311,0.0004989749,0.00009916736,0.00007834013,0.00008124037,0.00001977012,0.000005650769,0.00001355507,0.02137215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7531301,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247092952284398,"score_gpt":0.3108866020015381,"score_spread":0.1861773067730983,"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."}}