{"id":"W6976682030","doi":"10.6068/dp14ba8bec6df28","title":"Trend 1993 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Fields of Study | Country: Canada | Table: University enrolments, by registration status, program level, Classification of Instructional Programs, Primary Grouping (CIP_PG) and sex | Variable: Physical and life sciences and technologies, Other undergraduate level, Females, Total, registration status | Units: #, 1993-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-071.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Economic statistics; Statistical analysis; Socioeconomic status; Publication; Official statistics; Training (meteorology)","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":[],"consensus_categories":[],"category_scores_codex":[0.00274906,0.002521316,0.002995872,0.01018283,0.003447884,0.005077379,0.005528142,0.001632079,0.09796044],"category_scores_gemma":[0.02408366,0.00184109,0.00222543,0.04751178,0.0006638507,0.002516036,0.002476002,0.003234847,0.05495544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06062886,"about_ca_system_score_gemma":0.1663089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940596,"about_ca_topic_score_gemma":0.9914455,"domain_scores_codex":[0.993971,0.0003727348,0.0007656921,0.0007643438,0.002865994,0.001260207],"domain_scores_gemma":[0.950904,0.001914827,0.001555492,0.001320521,0.04217837,0.002126723],"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":[0.00002495103,0.000006295837,0.0009923517,0.0002966632,0.00002156424,0.000005684383,0.00002073944,0.0001082897,0.000009628402,0.000366279,0.9965209,0.001626589],"study_design_scores_gemma":[0.0001701116,0.00001304761,0.02633202,0.0009835293,0.00007856496,0.00002412058,0.0004538615,0.0004004303,0.000157087,0.0006540332,0.9706459,0.00008739282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004376368,0.00004590748,0.00002221065,0.0001154428,0.00002806196,0.00001570717,0.9989284,0.00005001388,0.0007503906],"genre_scores_gemma":[0.0008794434,0.0003270058,0.0004394752,0.0001893801,0.00002218545,0.0001593597,0.9938054,0.0001189316,0.004058777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09796044,"threshold_uncertainty_score":0.4398952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673810520863072,"score_gpt":0.2766229671609551,"score_spread":0.209241915074648,"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."}}