{"id":"W4205570217","doi":"10.15454/qnw0-rp67","title":"European Crop Protection in 2030. Summary of ENDURE Foresight study","year":2010,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Futures studies; Business; Computer science","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":[0.002494917,0.0004162627,0.0002362428,0.001543683,0.0003658421,0.0008873478,0.0004042009,0.0005568593,0.006113001],"category_scores_gemma":[0.002229678,0.0001185428,0.0006960005,0.00281232,0.000126479,0.00105677,0.0008917306,0.0003699201,0.0007190251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196198,"about_ca_system_score_gemma":0.002736943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05460958,"about_ca_topic_score_gemma":0.04998215,"domain_scores_codex":[0.9993819,0.0001395716,0.00006439399,0.00007498125,0.0001633316,0.0001757932],"domain_scores_gemma":[0.9989908,0.0002744916,0.0001626461,0.00008201438,0.0003920752,0.00009796441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003717054,0.0003318623,0.1431368,0.004382497,0.0007651194,0.002051589,0.002402439,0.01126201,0.002490961,0.02124229,0.2534594,0.554758],"study_design_scores_gemma":[0.00004632635,0.0003973215,0.4194688,0.001112033,0.000266231,0.000349764,0.004335008,0.001228289,0.003325007,0.002226121,0.5671965,0.0000485967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4144676,0.07460724,0.006852277,0.01229562,0.001523874,0.0005494757,0.2139579,0.000423208,0.2753229],"genre_scores_gemma":[0.8424765,0.02770321,0.005958928,0.002607106,0.0001423768,0.0005132816,0.06984472,0.00006276859,0.05069109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05460958,"threshold_uncertainty_score":0.1085834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206893080253771,"score_gpt":0.2202181068729206,"score_spread":0.1981491760703829,"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."}}