{"id":"W6939224823","doi":"10.6068/dp14ba80f106c68","title":"Trend 2001 - 2004. Statistics Canada. CANSIM: Seniors - Housing and Living Arrangements | Country: Canada | Table: Federal personnel engaged in science and technological activities, by occupational category and major departments and agencies | Variable: Industry Canada, Other personnel | Units: #, 2001-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-184.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Population; Socioeconomic status; Population statistics; Summary statistics; Standard of living","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":[0.002272551,0.002497239,0.002746338,0.008614473,0.003557685,0.004913883,0.00545936,0.001540813,0.1033003],"category_scores_gemma":[0.0181089,0.001841426,0.002133747,0.03794162,0.0006032558,0.002552666,0.002433062,0.00312802,0.05721217],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05628845,"about_ca_system_score_gemma":0.1350672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946926,"about_ca_topic_score_gemma":0.9927458,"domain_scores_codex":[0.9956563,0.0002728796,0.0004603595,0.000525906,0.002077427,0.001007124],"domain_scores_gemma":[0.9638129,0.001135242,0.001052794,0.001003132,0.03114124,0.001854653],"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":[0.00002288669,0.000006305736,0.001072456,0.0002151264,0.00001805197,0.000006352308,0.00002348984,0.00008917962,0.000007366018,0.0003471282,0.9964993,0.001692244],"study_design_scores_gemma":[0.0001487821,0.0000150678,0.02961591,0.0009390559,0.00006966431,0.00002928035,0.0005785786,0.0004367248,0.0001633254,0.0006246072,0.9672912,0.00008772389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000647573,0.00005203509,0.00002820355,0.0001359196,0.00003390978,0.00001752839,0.9985573,0.00006022882,0.001050199],"genre_scores_gemma":[0.0009539041,0.0003165383,0.0004059834,0.0001834837,0.00002245095,0.0001550469,0.9919872,0.0001223377,0.005853048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9437116,"threshold_uncertainty_score":0.4084032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090273864325793,"score_gpt":0.2303398215457781,"score_spread":0.1994370829025202,"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."}}