{"id":"W2369197500","doi":"","title":"Thinking on Increasing Seed Management Ability of Fujian Provinc","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Chemistry; Horticulture; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009046748,0.0003676407,0.00009328353,0.001064119,0.001326894,0.001999698,0.0006487042,0.0006110208,0.003710202],"category_scores_gemma":[0.001972823,0.0001332077,0.0002491061,0.0009576515,0.001198233,0.002832839,0.0007637682,0.0008800501,0.0001026579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004783419,"about_ca_system_score_gemma":0.003255708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04879542,"about_ca_topic_score_gemma":0.1102722,"domain_scores_codex":[0.999764,0.00006498567,0.000008429294,0.00004733759,0.00003871357,0.00007647121],"domain_scores_gemma":[0.9988396,0.0002980409,0.0002089246,0.00006903203,0.000396598,0.0001877577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000271246,0.0002515577,0.3256539,0.0003363747,0.0002025771,0.001501326,0.009827291,0.02593766,0.01072257,0.4253605,0.009393964,0.1905411],"study_design_scores_gemma":[0.00007316372,0.0004000667,0.530031,0.0002550583,0.0004243732,0.0004588218,0.05968347,0.05313816,0.009977343,0.2776866,0.06774479,0.0001272101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015864,0.0005978073,0.01047044,0.02072743,0.00004995507,0.00004042211,0.00007548799,0.00004876084,0.06640325],"genre_scores_gemma":[0.9962906,0.0001076723,0.001632552,0.0002620798,0.00001349936,0.000006292636,0.00001371639,0.000002267123,0.001671392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04879542,"threshold_uncertainty_score":0.09702277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964210971085802,"score_gpt":0.1982481254884349,"score_spread":0.1786060157775768,"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."}}