{"id":"W2761990746","doi":"10.18174/420737","title":"Maatregelen om weidegang te bevorderen : inventarisatie en analyse","year":2017,"lang":"nl","type":"report","venue":"","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Mathematics","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001403756,0.002324739,0.003452737,0.0009989403,0.000987886,0.0007113403,0.002927056,0.002639756,0.02832966],"category_scores_gemma":[0.0005627032,0.001833034,0.002816713,0.0007353408,0.0004176006,0.0006656833,0.001524059,0.001893288,0.004898863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532457,"about_ca_system_score_gemma":0.0009324909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2703835,"about_ca_topic_score_gemma":0.2469998,"domain_scores_codex":[0.9891289,0.0007242662,0.002635486,0.002968369,0.002799469,0.001743465],"domain_scores_gemma":[0.9894666,0.0003661043,0.003513883,0.00542067,0.0003257134,0.0009070154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007799242,0.001444971,0.1197445,0.000756045,0.03922724,0.001723509,0.001116453,0.0193442,0.0008988006,0.001929205,0.6680213,0.1457157],"study_design_scores_gemma":[0.0007448751,0.0001406367,0.02946386,0.0003411587,0.01067547,0.00009405283,0.001366654,0.0004733894,0.001330466,0.0006004645,0.9521617,0.002607331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02574786,0.01101874,0.0003758009,0.002510858,0.0019269,0.0007739967,0.0002444064,0.0004288113,0.9569726],"genre_scores_gemma":[0.2239599,0.02968738,0.001699559,0.0005765948,0.004035965,0.0001656722,0.004870866,0.0003562627,0.7346478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2841403,"threshold_uncertainty_score":0.9989491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921830197321349,"score_gpt":0.2578847412482074,"score_spread":0.2386664392749939,"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."}}