{"id":"W3189764386","doi":"","title":"Chih-Chien Wang — Don d’images / Chih-Chien Wang — A Gift of Images","year":2021,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Art; Computer vision; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654665,0.0005808843,0.0002336668,0.0008140892,0.004203072,0.005090399,0.0004524702,0.001351434,0.1018093],"category_scores_gemma":[0.003439383,0.0002228913,0.0002197245,0.0005206661,0.001629673,0.003413199,0.00285486,0.004112098,0.01986804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105546,"about_ca_system_score_gemma":0.00212287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005741355,"about_ca_topic_score_gemma":0.02045171,"domain_scores_codex":[0.9993932,0.0001036116,0.00001535394,0.00008774828,0.0002824785,0.0001176055],"domain_scores_gemma":[0.9983729,0.0001464813,0.00004859633,0.0001160249,0.0003917467,0.0009241719],"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":[0.00001762398,0.00001996411,0.0002373466,0.00002139738,0.000002550508,0.0000804115,0.0005450702,0.00001329704,0.0002910841,0.03800657,0.9263964,0.03436835],"study_design_scores_gemma":[0.000004028474,0.000004610918,0.0002255468,0.00002359326,0.000001543223,0.0001283064,0.000509813,0.00003316675,0.0002070529,0.002276545,0.9965786,0.00000715567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005855878,0.01040115,0.004253434,0.1589315,0.03555717,0.00009193106,0.0004316822,0.0008635967,0.7836137],"genre_scores_gemma":[0.03749302,0.002338996,0.002129636,0.01427369,0.002063441,0.00005967283,0.0001455261,0.0004524786,0.9410436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1018093,"threshold_uncertainty_score":0.3405861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627441008618086,"score_gpt":0.2303487420151648,"score_spread":0.2140743319289839,"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."}}