{"id":"W2950827670","doi":"","title":"Not Gorgythion Struck by an Arrow","year":2012,"lang":"en","type":"article","venue":"Dalhousie review","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Arrow; History; Art; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008407481,0.0001817258,0.000314856,0.00005120832,0.00008584161,0.00008099181,0.0007885516,0.00007379586,0.0002185303],"category_scores_gemma":[0.00006870668,0.000158276,0.00009560028,0.0003503312,0.00002877643,0.001352839,0.0001637446,0.0001634494,0.0006844591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003243035,"about_ca_system_score_gemma":0.00003002143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001105237,"about_ca_topic_score_gemma":0.000001654972,"domain_scores_codex":[0.9984344,0.0002024716,0.0003392826,0.0003135217,0.0003060515,0.0004042955],"domain_scores_gemma":[0.9986744,0.0000409764,0.000143287,0.0008031401,0.00008007398,0.0002581255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.542099e-7,0.0001283341,0.0000977431,0.0005411773,0.000007541338,0.00000243397,0.0001097497,1.321494e-8,0.001393918,0.004815355,0.04203478,0.9508684],"study_design_scores_gemma":[0.0001180391,0.0001143024,0.0002369787,0.001225272,0.00003096464,0.00009973167,0.00000334266,0.0001089056,0.02329618,0.0006138899,0.973694,0.0004584067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004706147,0.2578533,0.7090192,0.005437414,0.001001482,0.002061461,0.00006135731,0.00378615,0.01607343],"genre_scores_gemma":[0.2587135,0.3902463,0.2907544,0.05609606,0.001101065,0.0006699344,0.0003063191,0.0001805323,0.001931888],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.95041,"threshold_uncertainty_score":0.8797565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838053674949871,"score_gpt":0.2943429349765339,"score_spread":0.2659623982270352,"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."}}