{"id":"W1941070497","doi":"10.15027/15294","title":"遺伝子組換え作物をめぐる生命特許と農民特権 : シュマイザー･モンサント事件を中心に","year":2004,"lang":"ja","type":"article","venue":"Hiroshima University Acedemic Information Repository (Hiroshima University)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.003304672,0.0003352526,0.0002895946,0.0008243239,0.005294215,0.006180972,0.0006104506,0.002755152,0.01711782],"category_scores_gemma":[0.003684795,0.0002871447,0.0004643675,0.0007624479,0.008226782,0.00351744,0.001847021,0.003906745,0.008723441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007086752,"about_ca_system_score_gemma":0.005467083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04918445,"about_ca_topic_score_gemma":0.04472537,"domain_scores_codex":[0.9961259,0.0005148202,0.0001474665,0.0006265876,0.002113919,0.0004713119],"domain_scores_gemma":[0.9977824,0.0007290736,0.0001729005,0.0002018299,0.0008882973,0.0002254796],"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":[0.00008937055,0.00006741657,0.003089014,0.00021593,0.00001483292,0.000833599,0.007548203,0.0003399402,0.004763566,0.8046839,0.05803257,0.1203217],"study_design_scores_gemma":[0.000009288887,0.00006030924,0.004418748,0.0001654585,0.00001752446,0.001105403,0.002773872,0.0004862394,0.006198705,0.04881256,0.9358855,0.00006639498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03121666,0.0178687,0.01975296,0.02864095,0.002152496,0.0001517343,0.0005158274,0.000342773,0.8993579],"genre_scores_gemma":[0.5498263,0.01471495,0.01822198,0.01277928,0.001535295,0.0001337776,0.0003806213,0.0002522229,0.4021556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04918445,"threshold_uncertainty_score":0.09779632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009787818992647192,"score_gpt":0.1650047751875844,"score_spread":0.1552169561949372,"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."}}