{"id":"W2347777616","doi":"","title":"Thinking on Seed Administration Law Enforcement System Construction","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Enforcement; Law enforcement; Business; Law and economics; Law; Political science; 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":[0.01073085,0.0004275359,0.0003448974,0.001755249,0.008627412,0.01049933,0.00255039,0.01250855,0.01492323],"category_scores_gemma":[0.02283902,0.0006569113,0.0007758703,0.0009606645,0.03351484,0.02089377,0.00294226,0.01371864,0.0009921427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009062703,"about_ca_system_score_gemma":0.01002063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996435,"about_ca_topic_score_gemma":0.01684266,"domain_scores_codex":[0.9939554,0.002989692,0.0002098114,0.0008901417,0.0008751283,0.001079765],"domain_scores_gemma":[0.9821989,0.01122858,0.001087128,0.001206423,0.00319341,0.001085555],"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":[0.000005753979,0.00001732665,0.0004132162,0.0000110657,0.000004098937,0.0000566019,0.001507891,0.0004120912,0.00005368772,0.9881843,0.006117899,0.003216022],"study_design_scores_gemma":[0.00001487859,0.00001344687,0.0003789031,0.00006946783,0.000008603468,0.00004944697,0.003898171,0.001503396,0.0003225553,0.9572913,0.03643013,0.00001961588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04274978,0.00115007,0.07737495,0.5507492,0.001235956,0.0001645121,0.00009311427,0.00009141923,0.326391],"genre_scores_gemma":[0.9064711,0.0006719257,0.01713728,0.03811785,0.0009267579,0.000136672,0.0000392717,0.00008169204,0.03641742],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01996435,"threshold_uncertainty_score":0.06575483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374088611703565,"score_gpt":0.2101764623402909,"score_spread":0.1964355762232552,"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."}}