{"id":"W7033111483","doi":"","title":"THE OVERVIEW OF AGRICULTURAL SECTOR OF CANADA","year":2018,"lang":"en","type":"other","venue":"A.N.Beketov KNUME Digital Repository (National University of Kharkiv)","topic":"African Education and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Government (linguistics); Agricultural productivity; Productivity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001121139,0.0001185685,0.0002218748,0.00006704569,0.0002576864,0.0000219479,0.0004897988,0.0001227984,0.0005515447],"category_scores_gemma":[0.0001819531,0.0001055065,0.0001276437,0.0002040627,0.000793929,0.0001135277,0.00005853354,0.00006737397,0.000008535557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003255614,"about_ca_system_score_gemma":0.003431458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1323936,"about_ca_topic_score_gemma":0.1497208,"domain_scores_codex":[0.9985329,0.00008377081,0.0002085606,0.0001477088,0.0008510068,0.0001760376],"domain_scores_gemma":[0.998185,0.000280258,0.0006392046,0.0001507009,0.0006307422,0.0001141309],"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":[0.000009311727,0.00004855098,0.001190829,0.00005974285,0.0001510746,0.000001510866,0.00135093,0.000001190524,0.00001297409,0.03476993,0.9622876,0.0001163325],"study_design_scores_gemma":[0.00009288946,0.00001971386,0.005387771,0.0000927991,0.00002551638,0.000001480892,0.007262294,5.529848e-7,0.00004824132,0.0001601843,0.9867892,0.0001193215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004014608,0.0002737346,0.000002547815,0.0002707384,0.0005565393,0.0001414385,0.0003570237,0.0000170895,0.9943663],"genre_scores_gemma":[0.1973091,0.00007566927,0.00002432565,0.00001761036,0.0002580431,1.995372e-7,0.00003117718,0.0000196844,0.8022642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1932945,"threshold_uncertainty_score":0.8733839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753593384945148,"score_gpt":0.2373985554922999,"score_spread":0.2198626216428484,"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."}}