{"id":"W4286747236","doi":"","title":"A broader < object > content model for art history","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Content (measure theory); Object (grammar); Computer graphics (images); Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007310695,0.0005977694,0.0007858404,0.002609875,0.0006832259,0.003031849,0.001637667,0.001818824,0.007979014],"category_scores_gemma":[0.002588679,0.000395624,0.001474872,0.002703302,0.0008182162,0.005589199,0.001342926,0.001587978,0.00261618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724207,"about_ca_system_score_gemma":0.00105422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727074,"about_ca_topic_score_gemma":0.01581472,"domain_scores_codex":[0.9996064,0.00008032582,0.00002609007,0.0001535642,0.00007495528,0.00005868676],"domain_scores_gemma":[0.9993352,0.0002400323,0.00006145256,0.0001809151,0.0001175711,0.00006470222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006012057,0.0005237717,0.008906563,0.000492054,0.0002415724,0.0003442318,0.0008754912,0.2091717,0.01308448,0.2724426,0.02183663,0.4714796],"study_design_scores_gemma":[0.00002081939,0.00006070035,0.002366372,0.00006128317,0.00007351906,0.0001108529,0.0001337032,0.8813441,0.001050233,0.1013294,0.01342337,0.00002569126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04393387,0.001411572,0.9326249,0.001387708,0.0002201345,0.0001719775,0.004281372,0.002290615,0.01367789],"genre_scores_gemma":[0.7690274,0.002053471,0.1888697,0.0007001235,0.0005305256,0.0004019582,0.007272552,0.0006928827,0.03045135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01727074,"threshold_uncertainty_score":0.03434044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04623965751568143,"score_gpt":0.2388724946654226,"score_spread":0.1926328371497412,"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."}}