{"id":"W4321208452","doi":"10.1016/j.oneear.2023.01.013","title":"The Kunming-Montreal Global Biodiversity Framework: Business as usual or a turning point?","year":2023,"lang":"en","type":"article","venue":"One Earth","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Turning point; Biodiversity; Point (geometry); Geography; Environmental resource management; Business; Environmental science; Ecology; Biology; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004633154,0.0001469711,0.0002771871,0.00008722304,0.0004849683,0.0002228135,0.0002790067,0.0001394584,0.0006199065],"category_scores_gemma":[0.0004892488,0.000137696,0.00009270803,0.0006004679,0.00008814362,0.0001977962,0.0002057596,0.0001758807,0.01246004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007271041,"about_ca_system_score_gemma":0.0000295457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326856,"about_ca_topic_score_gemma":0.001824396,"domain_scores_codex":[0.9987862,0.000012452,0.0003216878,0.0003395874,0.00003194649,0.000508165],"domain_scores_gemma":[0.9991742,0.0001698403,0.0001985901,0.0003274678,0.0000257364,0.0001041332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000966474,0.0003685862,0.4438817,0.000164611,0.0006050819,0.0001787958,0.00678017,0.0006099261,0.000008297736,0.4754141,0.04430619,0.02671603],"study_design_scores_gemma":[0.001302333,0.0001523148,0.6216769,0.00005905641,0.00002377161,0.0000307684,0.001380634,0.00269445,0.00003684125,0.1084227,0.2634592,0.0007609814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703568,0.0002850247,0.0001450386,0.00578256,0.0008243572,0.0001478744,0.001013393,0.0001455573,0.02129938],"genre_scores_gemma":[0.9897642,0.00303576,0.0003495815,0.001668556,0.0006231971,0.0000204406,0.0001590573,0.00002261087,0.004356616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3669914,"threshold_uncertainty_score":0.9883088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0938644826844148,"score_gpt":0.264287211944233,"score_spread":0.1704227292598182,"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."}}