{"id":"W6957737601","doi":"10.6068/dp14ba88acebc1","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by tongue, sex and Classification of Instructional Programs, Primary Grouping (CIP_PG) | Variable: Agriculture, natural resources and conservation, Both sexes, English, Total, institution type | Units: #, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-073.","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; Socioeconomic status; Economic statistics; Official statistics; Statistical analysis; Institution","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":[0.002470988,0.002373778,0.002797682,0.009299818,0.003600031,0.004942211,0.005233896,0.001579847,0.09234497],"category_scores_gemma":[0.02073154,0.001780353,0.002356862,0.04172007,0.0006636698,0.002616748,0.00235402,0.003177127,0.04925803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06126353,"about_ca_system_score_gemma":0.1711407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951166,"about_ca_topic_score_gemma":0.9929356,"domain_scores_codex":[0.9947788,0.0003163638,0.0005716868,0.000622626,0.002536335,0.001174265],"domain_scores_gemma":[0.9576352,0.001486184,0.001233205,0.001077064,0.03664685,0.001921477],"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":[0.0000273342,0.000007343161,0.001251175,0.0003164942,0.0000247818,0.00000708982,0.00002446728,0.0001268115,0.00001063879,0.0003968426,0.995788,0.002018947],"study_design_scores_gemma":[0.0001607494,0.00001347879,0.02675975,0.001024597,0.00008691773,0.00002758961,0.0005145547,0.0004963262,0.0001886987,0.0006271594,0.9700085,0.00009160412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006088166,0.00006283168,0.0000290068,0.0001664256,0.00003881587,0.0000188201,0.9985303,0.0000603614,0.001032498],"genre_scores_gemma":[0.001140835,0.0004497992,0.000519195,0.0002282548,0.00002741677,0.0001690757,0.9918875,0.000141273,0.005436592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09234497,"threshold_uncertainty_score":0.4445001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113032322631382,"score_gpt":0.2409881025796808,"score_spread":0.219857779353367,"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."}}