{"id":"W2156161431","doi":"10.16995/dscn.248","title":"Statistical Analysis of Digital Paleographic Data: What Can It Tell Us?","year":2005,"lang":"en","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001877914,0.0002305107,0.0004986562,0.0003110684,0.0001705448,0.00115447,0.0007822006,0.00006402884,0.00000325918],"category_scores_gemma":[0.0001960644,0.000202049,0.0001310514,0.001238042,0.0004045783,0.004872722,0.0006268961,0.0001472161,0.000009036508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003680323,"about_ca_system_score_gemma":0.000110173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000193574,"about_ca_topic_score_gemma":0.0002713037,"domain_scores_codex":[0.9982127,0.00002923959,0.0004594173,0.0006364483,0.0003193837,0.0003428015],"domain_scores_gemma":[0.998507,0.0002145152,0.0001937441,0.0007286985,0.0002509458,0.0001050837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003045701,0.0006472979,0.1001697,0.0002000329,0.004291703,0.00005317635,0.06564316,0.0007296829,0.00003221355,0.0008280321,0.003554949,0.8238195],"study_design_scores_gemma":[0.004050694,0.0009938817,0.04544119,0.001062959,0.00008980648,0.0004820764,0.6243775,0.1991354,0.003503571,0.02288737,0.09250788,0.005467672],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5651932,0.004627959,0.4204786,0.003723861,0.0005560336,0.000215524,0.0006276506,0.0002696748,0.004307525],"genre_scores_gemma":[0.9976373,0.0007416317,0.0009945942,0.000143511,0.00009787759,0.000008791048,0.0001828534,0.00001128123,0.0001821569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8183519,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307402469415965,"score_gpt":0.2851820833666904,"score_spread":0.2521080586725307,"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."}}