{"id":"W2952738255","doi":"","title":"Land Utilization in Carleton and Victoria Counties, New Brunswick","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Forestry; Agricultural economics; Economics","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":[0.0002956367,0.0001746095,0.0001633906,0.00002656642,0.000281407,0.0002450534,0.0002375046,0.000167599,0.0005581618],"category_scores_gemma":[0.00004602905,0.00004043485,0.00004075546,0.0009554889,0.0001030622,0.0003288955,0.000102927,0.000109265,0.0001384069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006397514,"about_ca_system_score_gemma":0.00006145347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060996,"about_ca_topic_score_gemma":0.02022024,"domain_scores_codex":[0.998391,0.00005234035,0.0002107749,0.0005055248,0.0004363979,0.0004039318],"domain_scores_gemma":[0.9994919,0.00007727192,0.00006088096,0.00005736857,0.0001195579,0.0001930393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002930575,0.00007401176,0.2262061,0.00001273345,0.00001286127,0.00001086058,0.0003856235,6.626221e-7,0.3996449,0.002405228,0.2818142,0.08940348],"study_design_scores_gemma":[0.0001899664,0.00003232949,0.6203435,0.00005046231,0.000003211566,0.00000749485,0.0001351407,0.000001075207,0.002515787,0.000511433,0.3760457,0.0001638685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864911,0.0008791901,0.000009889231,0.00974904,0.0006129279,0.0003512147,0.00002052862,0.00007719695,0.00180889],"genre_scores_gemma":[0.9282459,0.0002882836,0.00004511147,0.00008039238,0.0004488305,0.000006661116,0.0001583143,0.00000104447,0.07072547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3971291,"threshold_uncertainty_score":0.9976582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985192837936883,"score_gpt":0.2238875902025737,"score_spread":0.2040356618232048,"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."}}