{"id":"W7032775691","doi":"","title":"Blue Sky","year":2006,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Praise; Sky; Antique; Sample (material)","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"],"consensus_categories":[],"category_scores_codex":[0.0004938456,0.0004221819,0.0003909383,0.0002329036,0.001891089,0.0007072492,0.001341535,0.0001906651,0.00004403661],"category_scores_gemma":[0.0000827376,0.0004203008,0.0002333727,0.0007566769,0.0003659192,0.001763581,0.0003996291,0.0003455072,0.0001620953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003505437,"about_ca_system_score_gemma":0.000814279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010631,"about_ca_topic_score_gemma":0.000007000842,"domain_scores_codex":[0.9966223,0.00009577013,0.001051199,0.0006374885,0.0009904318,0.0006027686],"domain_scores_gemma":[0.9979759,0.0001148257,0.0004866939,0.0008364791,0.0003762307,0.0002098042],"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":[0.00003695218,0.0005054864,0.001412952,0.0003806529,0.0001009571,0.0002955665,0.002226655,0.05560669,0.003431549,0.9086085,0.01994079,0.007453237],"study_design_scores_gemma":[0.001647154,0.0001502302,0.003377051,0.0003637356,0.00003940265,0.002064235,0.0005193907,0.3770261,0.02035624,0.01166959,0.581144,0.001642935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1421199,0.0002329947,0.6573844,0.0002922426,0.001859024,0.0003266982,0.000006440866,0.0008230525,0.1969552],"genre_scores_gemma":[0.94339,0.000002992433,0.04169957,0.0005036498,0.0009668624,0.00004571287,0.00001283255,0.00003111822,0.01334722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969389,"threshold_uncertainty_score":0.9998249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005978074910695755,"score_gpt":0.1949708821158102,"score_spread":0.1889928072051145,"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."}}