{"id":"W2982564141","doi":"10.7717/peerj.7221","title":"Global marine biodiversity in the context of achieving the Aichi Targets: ways forward and addressing data gaps","year":2019,"lang":"en","type":"article","venue":"PeerJ","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Université Laval","funders":"Institut Nordique De Recherche En Environnement Et En Santé Au Travail","keywords":"Convention on Biological Diversity; Biodiversity; Environmental resource management; Measurement of biodiversity; Context (archaeology); Environmental planning; Stewardship (theology); Framing (construction); Aquatic biodiversity research; Business; Geography; Political science; Biodiversity conservation; Ecology; Environmental science; Biology; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.09626002,0.001282462,0.001924859,0.006646928,0.004559407,0.01326658,0.004689406,0.006668362,0.004361695],"category_scores_gemma":[0.0830345,0.0007090275,0.001046966,0.01229354,0.0065331,0.02099428,0.01386317,0.01185006,0.001077696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01198455,"about_ca_system_score_gemma":0.06040816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06879483,"about_ca_topic_score_gemma":0.08170676,"domain_scores_codex":[0.9793798,0.009283415,0.002258834,0.001717403,0.00511095,0.002249716],"domain_scores_gemma":[0.8219374,0.09848538,0.01247171,0.0111672,0.04067306,0.01526518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004021849,0.0001536691,0.03628357,0.01544073,0.0003895096,0.00152771,0.02553856,0.002978222,0.002580355,0.1462166,0.2733112,0.4951777],"study_design_scores_gemma":[0.00002802906,0.0002083872,0.05325731,0.01276929,0.0002046886,0.0002573568,0.0289143,0.001135216,0.001332178,0.09709037,0.8045538,0.0002491171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02114101,0.1701826,0.01989395,0.746578,0.01020514,0.0002467407,0.004216597,0.0005336521,0.02700227],"genre_scores_gemma":[0.3966986,0.2460427,0.183143,0.1408295,0.008682651,0.001477968,0.0142393,0.0005330699,0.008353198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09626002,"threshold_uncertainty_score":0.5090777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03475944524171305,"score_gpt":0.2362283216209085,"score_spread":0.2014688763791954,"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."}}