{"id":"W7042021984","doi":"","title":"Blue Pattern","year":2005,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Rose (mathematics); Window (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002478169,0.000512679,0.0005243843,0.0001458216,0.002281324,0.0006724367,0.0005487179,0.0001517376,0.005106892],"category_scores_gemma":[0.00004043584,0.0004562695,0.0004123497,0.0001485198,0.0009382427,0.0008478666,0.0001817603,0.00030496,0.0008345753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000491833,"about_ca_system_score_gemma":0.0002282971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009041941,"about_ca_topic_score_gemma":0.001355368,"domain_scores_codex":[0.9969704,0.0001493875,0.0008305197,0.0006973903,0.0007570732,0.000595291],"domain_scores_gemma":[0.9985105,0.0000595267,0.0002616284,0.0005687678,0.0003312908,0.0002683201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001368161,0.003834381,0.006625624,0.00103975,0.004074058,0.003119462,0.1124351,0.04036969,0.115913,0.4544615,0.1627763,0.09398293],"study_design_scores_gemma":[0.0006090115,0.00008489769,0.0004430462,0.0000823707,0.0001154671,0.000196075,0.003430159,0.001225398,0.004755628,0.00007025474,0.9882932,0.0006945166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488445,0.0003535911,0.0003298211,0.0009138241,0.002182104,0.0003692949,0.0001448866,0.0004680796,0.1463939],"genre_scores_gemma":[0.9165254,0.000009499744,0.0002554444,0.0007453983,0.005824522,0.00009377645,0.00005466376,0.00006060514,0.07643067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8255168,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511151458596417,"score_gpt":0.2015299392326016,"score_spread":0.1864184246466375,"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."}}