{"id":"W6957681096","doi":"10.6068/dp14ba8c44dc815","title":"Trend 1991 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Adult Education and Training | Country: Canada | Table: Registered apprenticeship training, registrations, by age groups, sex and major trade groups | Variable: 35 to 39 years, Machinists, Already registered at the beginning of the reporting period, Females | Units: #, 1991-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-067.","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; Apprenticeship; Adult education; Descriptive statistics; Economic statistics; Socioeconomic status; Official 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002883914,0.002529478,0.002944551,0.009773773,0.003537773,0.005139204,0.005474241,0.001685701,0.0987949],"category_scores_gemma":[0.02447952,0.001978334,0.00238021,0.04453741,0.000692478,0.002643019,0.002395133,0.003551848,0.0554422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06061983,"about_ca_system_score_gemma":0.1723336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946556,"about_ca_topic_score_gemma":0.9922564,"domain_scores_codex":[0.994094,0.0004039968,0.000710686,0.0007138653,0.002766975,0.001310606],"domain_scores_gemma":[0.9502758,0.001936161,0.001518337,0.001309923,0.04271048,0.002249293],"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":[0.00002731487,0.000006778393,0.001029555,0.0003133689,0.00002318044,0.000006241631,0.00002166489,0.0001049773,0.000008478642,0.000334857,0.9963591,0.001764478],"study_design_scores_gemma":[0.0001894487,0.00001577935,0.02814601,0.00121478,0.00009480457,0.00003006613,0.0004952679,0.0004516055,0.0001738037,0.0006415698,0.9684479,0.00009888417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005062256,0.00006192251,0.00002480296,0.0001498195,0.00003591872,0.00001978945,0.9987296,0.00005535881,0.0008721373],"genre_scores_gemma":[0.0008827065,0.0004042578,0.0004353521,0.0002120721,0.00002700435,0.0001726369,0.9930583,0.0001359901,0.004671609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0987949,"threshold_uncertainty_score":0.4398297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05549875048274838,"score_gpt":0.2823449843564259,"score_spread":0.2268462338736775,"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."}}