{"id":"W4389402241","doi":"10.5376/ijms.2023.13.0005","title":"Exploring Marine Biodiversity from Concepts","year":2023,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Convention on Biological Diversity; Aquatic biodiversity research; Marine biodiversity; Environmental resource management; Environmental planning; Marine conservation; Legislation; Negotiation; Marine protected area; Jurisdiction; Measurement of biodiversity; Corporate governance; Business; Geography; Political science; Environmental science; Ecology; Biodiversity conservation; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005574136,0.00008092113,0.0000938884,0.0001989888,0.00009349491,0.00008633798,0.001134756,0.000008967576,0.005288277],"category_scores_gemma":[0.0001310508,0.00006949713,0.00006446602,0.0005665052,0.0003127779,0.001037761,0.01771311,0.0001021532,0.001069951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012676,"about_ca_system_score_gemma":0.00002378776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296642,"about_ca_topic_score_gemma":0.0001273712,"domain_scores_codex":[0.9982683,0.00001348574,0.0002279492,0.0001890804,0.001112283,0.0001888837],"domain_scores_gemma":[0.9994729,0.0000447561,0.0001617913,0.0001183908,0.00008112254,0.0001211082],"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":[0.00005962838,0.00005932432,0.2815201,0.000001056062,0.00002888693,0.0002312733,0.0002309575,0.001057353,0.003960696,0.0002764811,0.00532259,0.7072517],"study_design_scores_gemma":[0.0004772926,0.00006601404,0.9625228,0.000008791852,0.000009548539,0.00002219171,0.0002139549,0.0005105464,0.001879216,0.007489637,0.0266769,0.0001231189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283767,7.004714e-7,0.0001252681,0.002223385,0.001705469,0.00003921972,0.000006130238,0.00002154609,0.06750152],"genre_scores_gemma":[0.9967741,0.0001142717,0.001599363,0.000229945,0.0001559546,0.000001381039,0.000006190126,0.000002876377,0.001115926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7071285,"threshold_uncertainty_score":0.9997078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262258052525252,"score_gpt":0.26748996052138,"score_spread":0.2148673799961275,"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."}}