{"id":"W7131975395","doi":"","title":"数字化对眼镜行业有意义吗？","year":2022,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Casa","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.001426419,0.0007897292,0.0006581941,0.0007313928,0.01452618,0.0002834035,0.001689468,0.0002191877,0.005978842],"category_scores_gemma":[0.0002825622,0.00103573,0.0007037181,0.001757007,0.002274493,0.0008353127,0.002289567,0.002256203,0.006409572],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007775123,"about_ca_system_score_gemma":0.007692058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001975541,"about_ca_topic_score_gemma":0.000004189797,"domain_scores_codex":[0.9904554,0.001176334,0.001493128,0.001680559,0.003932254,0.001262283],"domain_scores_gemma":[0.9964065,0.0002142387,0.0007564249,0.001528069,0.0004168573,0.0006779025],"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":[0.001992127,0.005542312,0.00766228,0.0002649585,0.001291872,0.01453204,0.002245872,0.2069611,0.1286719,0.4977394,0.1298041,0.003291969],"study_design_scores_gemma":[0.001829609,0.0004500705,0.008148419,0.0000772461,0.0002938814,0.01098196,0.0008510363,0.003905092,0.004925415,0.00112377,0.9660961,0.001317392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3211491,0.01594854,0.0003127903,0.0004268614,0.03246084,0.001213789,0.001245806,0.0006440691,0.6265982],"genre_scores_gemma":[0.9608629,0.00003283417,0.0003787123,0.0006215408,0.002335128,0.0005691092,0.0002580674,0.0001795298,0.03476215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.836292,"threshold_uncertainty_score":0.9992093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137597212838828,"score_gpt":0.2280270183264242,"score_spread":0.2142672970425414,"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."}}