{"id":"W2185297469","doi":"","title":"Harmonizing Global Environmental Governance, Exploring Tensions between Trade and Biodiversity: Assessing the Environmental Risks of Genetically Modified Organisms","year":2005,"lang":"en","type":"article","venue":"","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Biodiversity; Environmental governance; Corporate governance; Genetically modified organism; Environmental resource management; Business; Environmental planning; Natural resource economics; Economics; Ecology; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003125073,0.0004275359,0.0003278492,0.0008705753,0.0006966532,0.003174903,0.0004058817,0.001323324,0.0007618353],"category_scores_gemma":[0.007278114,0.0001816776,0.0003166421,0.001377727,0.003362427,0.003362719,0.001923323,0.0006764647,0.00003995724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075405,"about_ca_system_score_gemma":0.00165735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004950149,"about_ca_topic_score_gemma":0.009999428,"domain_scores_codex":[0.9987091,0.0008105022,0.00003416366,0.0001208426,0.0001652961,0.0001601891],"domain_scores_gemma":[0.9976418,0.0009050668,0.0009022612,0.0002145893,0.0001962584,0.0001399803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005061041,0.000449925,0.375803,0.00028279,0.0008586249,0.0005760402,0.004186647,0.359611,0.008525616,0.1544317,0.001008535,0.09376007],"study_design_scores_gemma":[0.00006451982,0.0007216356,0.3815842,0.0001372359,0.000272716,0.0002170495,0.01561721,0.1373584,0.003237039,0.4563771,0.004345276,0.00006757989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880041,0.0002349939,0.004780186,0.0009621563,0.000004854752,0.00002412983,0.00003353988,0.000003811752,0.005952185],"genre_scores_gemma":[0.9987291,0.0001264546,0.0009584712,0.00004413974,0.000002619814,0.000006403808,0.00001214759,0.000001688369,0.0001189547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004950149,"threshold_uncertainty_score":0.01652718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1823872719494652,"score_gpt":0.2753490257457997,"score_spread":0.09296175379633448,"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."}}