{"id":"W2360571219","doi":"","title":"Study on the Implementation Opinion of Accelerating Modem Crop-Seed Industry Development of Anhui Provincial People’s Government","year":2013,"lang":"en","type":"article","venue":"Seed","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Crop; Agricultural economics; Agronomy; Biology; Economics","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":[0.001831609,0.0001214044,0.0001444396,0.0005186968,0.003094795,0.001017123,0.0005086726,0.0007280136,0.002839631],"category_scores_gemma":[0.00325223,0.0001317625,0.0002002493,0.0006674395,0.000876069,0.0005918085,0.0006994458,0.001369307,0.0001378221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007055085,"about_ca_system_score_gemma":0.009313074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1083379,"about_ca_topic_score_gemma":0.159654,"domain_scores_codex":[0.9987143,0.0002762887,0.00005090766,0.00006791854,0.000317148,0.000573303],"domain_scores_gemma":[0.9971918,0.0005889861,0.0006184702,0.00004042644,0.0007244819,0.0008356943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002222777,0.0004120921,0.7102711,0.0001970566,0.00005620527,0.002628356,0.2442138,0.0003338328,0.003005243,0.008160186,0.006526091,0.02397382],"study_design_scores_gemma":[0.00001364343,0.0002256151,0.5599961,0.00007560613,0.0000298909,0.0002297655,0.4230655,0.0008332724,0.0004952658,0.000274034,0.01473378,0.00002733485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946935,0.0000397513,0.00002939349,0.001469492,0.00001553861,0.00001055252,0.00001828233,7.558031e-7,0.003722855],"genre_scores_gemma":[0.9980286,0.00007427242,0.00002719656,0.0002064335,0.000008190144,0.000006833,0.00001643939,5.60163e-7,0.00163132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083379,"threshold_uncertainty_score":0.2154147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601405801448939,"score_gpt":0.3122453438978631,"score_spread":0.2562312858833737,"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."}}