{"id":"W2267440428","doi":"","title":"Инновационное развитие сельского хозяйства: проблемы и перспективы","year":2014,"lang":"ru","type":"article","venue":"Современные проблемы науки и образования","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arable land; Agriculture; Agricultural science; Agricultural economics; Population; Geography; Sugar beet; China; World population; Business; Economics; Environmental science","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":[0.001019169,0.0003742283,0.0002710329,0.001466749,0.001476787,0.003725213,0.0003611181,0.0007536443,0.0172377],"category_scores_gemma":[0.002020921,0.0004661579,0.0002842465,0.00179982,0.001964187,0.00136838,0.001146944,0.001488541,0.00541401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464282,"about_ca_system_score_gemma":0.003263417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00584314,"about_ca_topic_score_gemma":0.008141704,"domain_scores_codex":[0.9987882,0.0001980556,0.00005927264,0.0001662946,0.0006501974,0.0001379753],"domain_scores_gemma":[0.9992284,0.0002128262,0.0001012589,0.0001074429,0.0002803316,0.00006984937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000105681,0.00006462896,0.0020249,0.0004862363,0.00002572215,0.000906177,0.003323884,0.001283581,0.009771353,0.5941535,0.01974736,0.3681069],"study_design_scores_gemma":[0.00002583568,0.00006154232,0.004036787,0.000264258,0.00003484149,0.001375907,0.001535174,0.0008602114,0.005533854,0.08575462,0.9004496,0.00006737767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07448141,0.06670987,0.1084429,0.01011701,0.002052268,0.0002519359,0.0009767421,0.0004659049,0.7365019],"genre_scores_gemma":[0.7849344,0.04393708,0.0816483,0.0005016051,0.000740874,0.000493525,0.0004474285,0.0002459949,0.08705079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0172377,"threshold_uncertainty_score":0.05766582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121090270267663,"score_gpt":0.1849071035654066,"score_spread":0.1727980765386403,"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."}}