{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003991743,0.0004235363,0.0005170417,0.0002305213,0.0002586629,0.0006419262,0.002746124,0.0003920415,0.00006683732],"category_scores_gemma":[0.001274162,0.0004559824,0.0004887593,0.0002904978,0.000223117,0.0003740562,0.001970838,0.0005986718,0.00002929929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871056,"about_ca_system_score_gemma":0.001253734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001083202,"about_ca_topic_score_gemma":0.000200298,"domain_scores_codex":[0.9950024,0.001959315,0.0007042105,0.001290142,0.0005870718,0.0004567866],"domain_scores_gemma":[0.9906524,0.0007916993,0.0006447411,0.003408784,0.004285362,0.0002169457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003138664,0.001877199,0.00009857634,0.0007993688,0.0002700438,0.00001433364,0.02426475,0.0001615011,0.06077872,0.6946178,0.04842021,0.1686661],"study_design_scores_gemma":[0.0004843092,7.427157e-7,0.0002215956,0.0009921977,0.00004473237,0.00001249302,0.00004664451,0.8216919,0.0888736,0.005184527,0.08173546,0.0007117792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006872979,0.003007475,0.9614,0.009492042,0.0003816834,0.0006145862,0.00003358667,0.0007390942,0.02364423],"genre_scores_gemma":[0.1484084,0.001161025,0.6996164,0.0008105904,0.00004179191,0.0007437195,0.000618432,0.00008344869,0.1485161],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8215304,"threshold_uncertainty_score":0.9997892,"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."}}