{"id":"W4301394610","doi":"10.7202/1092686ar","title":"Sanudo’s Vision, Vesconte’s Expertise, and the Ghost Hand: Reception of the Maps in the MS Additional 27376","year":2022,"lang":"en","type":"article","venue":"Material Culture Review","topic":"Historical, Religious, and Philosophical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; 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":[0.002317445,0.0003968259,0.0004457968,0.00122328,0.00521066,0.00423602,0.0008099816,0.00446365,0.05294035],"category_scores_gemma":[0.00730254,0.0002162107,0.0002324044,0.001241158,0.002412016,0.003962741,0.003596382,0.003840934,0.005171606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003830538,"about_ca_system_score_gemma":0.003702488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590245,"about_ca_topic_score_gemma":0.06221534,"domain_scores_codex":[0.9979953,0.0007402019,0.00006569788,0.0001434753,0.0008188341,0.0002365179],"domain_scores_gemma":[0.9960282,0.002002969,0.0002659456,0.00009865488,0.001088591,0.0005156876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003167832,0.000006555475,0.00007826503,0.0002474642,0.000002311826,0.0001472132,0.002912212,0.000007950513,0.0001403142,0.01389968,0.9648502,0.01767622],"study_design_scores_gemma":[0.000004707112,0.000009682253,0.0005688452,0.0004176685,0.00000261492,0.0001224009,0.003012561,0.000004907527,0.00008183449,0.001451035,0.9943169,0.000006838327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004011941,0.1576904,0.0003583058,0.4041514,0.04550078,0.00004603447,0.0004163695,0.0001058387,0.3877188],"genre_scores_gemma":[0.1192747,0.1134975,0.000670666,0.07573562,0.04169216,0.0001788773,0.0004267619,0.0003367845,0.6481869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05294035,"threshold_uncertainty_score":0.1771031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962379998546504,"score_gpt":0.2249605208310751,"score_spread":0.20533672084561,"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."}}