{"id":"W6976631860","doi":"10.6068/dp14ba8e93d7713","title":"Trend 1976 - 2000. Statistics Canada. CANSIM: Education, Training and Learning - Teachers and Educators | Country: Canada | Table: Number and median age of full-time teaching staff at Canadian universities, by highest earned degree, staff functions, rank, sex | Variable: No degree, diploma or professional designation, Full professor, Females, Total staff function, Number of full time teaching staff | Units: , 1976-2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-074.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Socioeconomic status; Economic statistics; Statistical analysis; Training (meteorology); 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":[0.002851525,0.002636158,0.002835624,0.01092152,0.003229869,0.00486524,0.005444994,0.001564305,0.09097823],"category_scores_gemma":[0.02458325,0.001866166,0.002151909,0.0467467,0.0007158983,0.002567305,0.002318963,0.003296691,0.05035527],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06183315,"about_ca_system_score_gemma":0.1794321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951535,"about_ca_topic_score_gemma":0.9924191,"domain_scores_codex":[0.9945958,0.0003497479,0.0005868711,0.0006703863,0.002622702,0.001174505],"domain_scores_gemma":[0.9501421,0.001872227,0.001492196,0.001250799,0.04304731,0.002195378],"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":[0.00002336334,0.000006099435,0.001015253,0.000279443,0.00002201234,0.000005748005,0.00002327265,0.0001238742,0.000009073461,0.0003605916,0.9964191,0.001712206],"study_design_scores_gemma":[0.0001623278,0.0000143756,0.02731455,0.0009454575,0.00008083442,0.00002728501,0.0004871203,0.0004911956,0.0001672519,0.0006825366,0.969536,0.00009096279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005684767,0.00005582028,0.00002850496,0.0001412347,0.00003277629,0.00001747727,0.9987732,0.00006723053,0.0008269032],"genre_scores_gemma":[0.001031838,0.0003552134,0.0005019197,0.0002128793,0.00002578606,0.0001656785,0.9926261,0.0001461472,0.004934421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9381669,"threshold_uncertainty_score":0.4486331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418028181648355,"score_gpt":0.2469712205381236,"score_spread":0.22279093872164,"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."}}