{"id":"W7055601648","doi":"","title":"Custom Cataloging: OCLC library technical services for Canadian libraries.","year":2004,"lang":"en","type":"other","venue":"","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library automation; Documentation; Information system; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["scholarly_communication"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":true,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001211359,0.0002191509,0.0001824168,0.0002169963,0.0000438723,0.0001149923,0.0003699067,0.0003832488,0.002242646],"category_scores_gemma":[8.328522e-7,0.0002055322,0.00006123588,0.000163794,0.00002729245,0.0001391257,0.00002433636,0.0001379599,0.0003606268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005376856,"about_ca_system_score_gemma":0.000258016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02482584,"about_ca_topic_score_gemma":0.07630885,"domain_scores_codex":[0.9993195,0.00000223848,0.0001245016,0.0002052766,0.0000546411,0.0002938192],"domain_scores_gemma":[0.9993796,0.00001705132,0.00001845285,0.0003454282,0.000003580485,0.0002358834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[3.912204e-7,0.000004894087,0.000007258355,0.0002072697,0.00002367385,0.000002460032,0.000008616976,0.0000825553,0.00001573061,0.02058369,0.9787881,0.0002753883],"study_design_scores_gemma":[0.0001098641,0.000004503598,0.00000930124,0.00007554518,0.00001763051,0.000002584922,0.000008305517,0.0003410242,0.0002113397,0.001200724,0.997746,0.0002731681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.315675e-7,0.0008426148,0.005451184,0.0005416339,0.0001505003,0.0006359753,0.0008491549,0.003009448,0.9885188],"genre_scores_gemma":[0.001643473,0.0001468504,0.0229734,0.0008005063,0.0005047681,0.0004138382,0.002647027,0.001023986,0.9698461],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05148301,"threshold_uncertainty_score":0.9986694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007691406889593894,"score_gpt":0.1862666107657027,"score_spread":0.1785752038761088,"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."}}