{"id":"W4293574183","doi":"","title":"How MAPOD can supply useful simulations for the regional debates between stakeholders on the coexistence between GMO and non GMO maize ?","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Supply chain; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402638,0.0003137306,0.0003088276,0.00002298061,0.001099538,0.0008458199,0.001101329,0.0002281219,0.00002884722],"category_scores_gemma":[0.0003320198,0.0001173711,0.0002072088,0.0001953889,0.0003175886,0.00008154667,0.0004788284,0.0004215545,0.000003624679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007291006,"about_ca_system_score_gemma":0.00004423578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286274,"about_ca_topic_score_gemma":0.01325463,"domain_scores_codex":[0.997677,0.0008351491,0.0003375421,0.0005708059,0.0002167554,0.0003627584],"domain_scores_gemma":[0.9907664,0.007702563,0.0004269484,0.0004386007,0.0005383285,0.0001271715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001098286,0.0009712556,0.4463287,0.0003756047,0.001344464,0.000003677054,0.01676612,0.003106188,0.008169305,0.1147503,0.0897058,0.3183688],"study_design_scores_gemma":[0.0003433114,0.000004790104,0.8794065,0.0004938142,0.0001424365,0.000002330822,0.0005634165,0.002324983,0.003986293,0.01130178,0.1007427,0.0006877071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940322,0.0001881074,0.000339985,0.2020177,0.00005103833,0.0008627042,0.001594784,0.00004881943,0.0008646919],"genre_scores_gemma":[0.9926656,0.0001924962,0.0005261447,0.0003395152,0.0002265613,0.00009127588,0.002274879,0.000005289772,0.00367819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4330778,"threshold_uncertainty_score":0.8456871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07102408495147179,"score_gpt":0.2297620957551943,"score_spread":0.1587380108037225,"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."}}