{"id":"W7020544332","doi":"","title":"Landen worden het eens in Montreal: een ‘Parijs-moment’ voor biodiversiteit","year":2022,"lang":"nl","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Term (time); Perspective (graphical)","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":[0.0006827143,0.0007675998,0.0003627423,0.0009726445,0.002552235,0.005650542,0.001859137,0.001279794,0.06393187],"category_scores_gemma":[0.001899829,0.0005390982,0.0005772108,0.003865829,0.001397472,0.002858113,0.001943395,0.001300802,0.0028632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02925074,"about_ca_system_score_gemma":0.03410434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985932,"about_ca_topic_score_gemma":0.9923028,"domain_scores_codex":[0.9995421,0.00009727303,0.000009923409,0.00006633716,0.000161648,0.0001226818],"domain_scores_gemma":[0.9996902,0.00006137697,0.00002606512,0.0000291864,0.0001115641,0.00008160306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001099894,0.00005800317,0.009247532,0.0005834373,0.0001338885,0.0004978083,0.004030343,0.04141334,0.001104289,0.3444873,0.4542349,0.1440992],"study_design_scores_gemma":[0.00002218835,0.000009872519,0.006818619,0.0003265778,0.00004985804,0.00003771664,0.002556942,0.01057988,0.0007279234,0.02443856,0.9543572,0.0000747001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05134223,0.02403303,0.04984368,0.06941408,0.001865308,0.0002397668,0.07539768,0.002037219,0.725827],"genre_scores_gemma":[0.4323965,0.01856338,0.02993037,0.002276393,0.0002329937,0.0003429684,0.01459657,0.002005293,0.4996555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06393187,"threshold_uncertainty_score":0.2138734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689972583530196,"score_gpt":0.2107670144862649,"score_spread":0.1938672886509629,"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."}}