{"id":"W3213691471","doi":"10.5281/zenodo.5519481","title":"Chapter 3. Assessing progress towards meeting major international objectives related to nature and nature's contributions to people","year":2019,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Management science; Engineering ethics; Political science; Regional science; Computer science; Sociology; Engineering","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":[0.003125593,0.001221557,0.0003439496,0.003137887,0.0009965858,0.004731305,0.0008199032,0.001218006,0.05269103],"category_scores_gemma":[0.0034712,0.0003419829,0.0005710013,0.003651223,0.0004952831,0.002091994,0.001677674,0.001272725,0.02507695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003123534,"about_ca_system_score_gemma":0.009672833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02650074,"about_ca_topic_score_gemma":0.03664263,"domain_scores_codex":[0.9965743,0.0003561236,0.0001419636,0.0001840474,0.002507862,0.0002357131],"domain_scores_gemma":[0.9982995,0.0003713514,0.0001843725,0.00009352735,0.0009328644,0.0001183522],"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":[0.00006520198,0.0001499087,0.002975597,0.0009925583,0.00002561925,0.00004795946,0.0006075181,0.001640178,0.001007051,0.02979213,0.7683625,0.1943338],"study_design_scores_gemma":[0.000007475679,0.00006556879,0.01018547,0.001241837,0.0000207512,0.00005511734,0.0006720935,0.0002474094,0.00198367,0.006007929,0.9794931,0.00001960713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00374132,0.009677944,0.006267863,0.005860148,0.002123745,0.001444645,0.0385427,0.0007277292,0.931614],"genre_scores_gemma":[0.03616607,0.04041939,0.02693145,0.002113357,0.0009689111,0.002428297,0.05668871,0.0007715792,0.8335123],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05269103,"threshold_uncertainty_score":0.1762691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142759619116348,"score_gpt":0.3023100591635089,"score_spread":0.2908824629723455,"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."}}