{"id":"W7100408591","doi":"","title":"Université de Montréal OF Master Hongyi’s Last Calligraphic Work","year":2016,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); The arts; Object (grammar); Craft","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":[],"consensus_categories":[],"category_scores_codex":[0.0001517428,0.00006226695,0.00008592857,0.00008218185,0.00006841111,0.00002808721,0.0003754198,0.00002922015,0.00007009388],"category_scores_gemma":[0.00001537867,0.0000400451,0.0000393827,0.0001935334,0.00002964407,0.0003829541,0.0002043807,0.00002375944,0.00005470087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000339252,"about_ca_system_score_gemma":0.00002616652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001126467,"about_ca_topic_score_gemma":0.00001569031,"domain_scores_codex":[0.9994316,0.00001236258,0.0001823576,0.00009088532,0.0001362829,0.0001465036],"domain_scores_gemma":[0.9994861,0.00005631326,0.0001198351,0.0002188736,0.0000646312,0.00005417677],"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":[0.00002707604,0.000155294,0.04109702,0.0002803452,0.00007586928,0.0000144298,0.02171164,0.0002374216,0.002322361,0.5388472,0.04443866,0.3507926],"study_design_scores_gemma":[0.009571195,0.0006540818,0.1395951,0.003304304,0.00008576468,0.0003145006,0.002274811,0.3347685,0.1859996,0.1206981,0.199161,0.003573022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06136699,0.00002910241,0.9159829,0.0006928983,0.00005303181,0.00003054887,2.691857e-7,0.00007699085,0.02176725],"genre_scores_gemma":[0.93897,0.00001463005,0.05594787,0.0002435892,0.000015093,5.215439e-7,1.243458e-7,0.000003265752,0.004804961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8776029,"threshold_uncertainty_score":0.1632992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009385753369559345,"score_gpt":0.169278427373188,"score_spread":0.1598926740036287,"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."}}