{"id":"W6957873979","doi":"10.6068/dp14ba8af6e5d85","title":"Trend 2001 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Fields of Study | Country: Canada | Table: College enrolments, by registration status, program level, Classification of Instructional Programs, Primary Grouping (CIP_PG) and sex | Variable: Health, parks, recreation and fitness, College university transfer program, Males, Part-time student | Units: #, 2001-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-071.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Recreation; Socioeconomic status; Economic statistics; Statistical analysis; Publication; Descriptive statistics","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"],"consensus_categories":[],"category_scores_codex":[0.001404278,0.0004749886,0.0008673135,0.0001427169,0.0002653161,0.0001837102,0.0008829033,0.0003195408,0.00005124955],"category_scores_gemma":[0.00004642132,0.0005211076,3.106979e-7,0.0005256545,0.0002374748,0.0005516452,0.0002401998,0.0005310993,1.738474e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792572,"about_ca_system_score_gemma":0.01777242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880322,"about_ca_topic_score_gemma":0.9663206,"domain_scores_codex":[0.9952441,0.001057325,0.001025877,0.001076753,0.001044072,0.000551842],"domain_scores_gemma":[0.9970195,0.0003154666,0.0009717809,0.001082605,0.0001967008,0.0004139247],"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":[0.00004684725,0.0004747878,0.0002741836,0.0007994912,0.0002025997,0.00002276519,0.00004494729,0.000003298003,0.000003679086,0.001206099,0.9889808,0.007940453],"study_design_scores_gemma":[0.0007829819,0.0006942598,0.00009831277,0.0001392182,0.0001482295,0.00008128913,0.002083323,0.003053971,3.961182e-8,6.283858e-7,0.992475,0.0004427259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001552163,0.001567,0.0004642182,0.0000085295,0.0001581072,0.003143548,0.9939498,0.0001248513,0.0005684042],"genre_scores_gemma":[0.0001629296,0.001229564,0.007686886,0.00003099369,0.0000498893,0.00007446145,0.9891157,0.00006268054,0.001586876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02171162,"threshold_uncertainty_score":0.999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481998090152532,"score_gpt":0.2745323243898631,"score_spread":0.2297123434883378,"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."}}