{"id":"W7084190900","doi":"","title":"SPECIFICATION CHANGES. WINSTON 80 CPB EXPORT (CANADA).","year":2004,"lang":"en","type":"other","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Production (economics); 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002357207,0.001944916,0.00153393,0.00365127,0.001734732,0.006297691,0.004434026,0.002001492,0.6607366],"category_scores_gemma":[0.01288562,0.002769151,0.001630835,0.01094488,0.000685559,0.003773461,0.001620735,0.002852091,0.4522336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125089,"about_ca_system_score_gemma":0.02221938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7636701,"about_ca_topic_score_gemma":0.7729661,"domain_scores_codex":[0.9972512,0.0001799162,0.0002040137,0.0002443539,0.001607963,0.0005125593],"domain_scores_gemma":[0.9908495,0.001509871,0.0002470304,0.00119012,0.005855452,0.0003480788],"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":[0.00007024418,0.00002760477,0.0003470615,0.0001586483,0.000009816145,0.00003730868,0.00007128867,0.0003814214,0.0002964817,0.004040273,0.9780214,0.01653837],"study_design_scores_gemma":[0.00007680208,0.0000133639,0.001804234,0.0001243365,0.00001716067,0.00004281926,0.0001824214,0.0006703478,0.0008689206,0.001736552,0.9944296,0.00003346555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001007018,0.0002276816,0.005062292,0.001763426,0.0002754914,0.000301178,0.6417428,0.0128486,0.3367715],"genre_scores_gemma":[0.005819569,0.0006545779,0.00679092,0.0006458961,0.0000520095,0.0004054483,0.4662368,0.01114893,0.5082458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7636701,"threshold_uncertainty_score":0.483918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666556594192249,"score_gpt":0.2431295122645265,"score_spread":0.226463946322604,"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."}}