{"id":"W2607106850","doi":"10.1016/j.dsr.2017.04.011","title":"Is substrate composition a suitable predictor for deep-water coral occurrence on fine scales?","year":2017,"lang":"en","type":"article","venue":"Deep Sea Research Part I Oceanographic Research Papers","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel","keywords":"Coral; Substrate (aquarium); Habitat; Abundance (ecology); Ecology; Environmental science; Spatial distribution; Oceanography; Geology; Remote sensing; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.006641787,0.0003690922,0.0004371759,0.0004501128,0.0057532,0.0007225369,0.001672735,0.0001967882,0.001478868],"category_scores_gemma":[0.0006434955,0.0002727256,0.0002708423,0.0006479609,0.002776047,0.0006607164,0.001621426,0.001211822,0.001003204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678696,"about_ca_system_score_gemma":0.00004843232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005913292,"about_ca_topic_score_gemma":0.00358,"domain_scores_codex":[0.9918152,0.0007380279,0.0004763525,0.001224628,0.003028569,0.002717218],"domain_scores_gemma":[0.9965196,0.0008035523,0.0001076105,0.001438068,0.0004251127,0.0007060398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001503881,0.0008161262,0.8478428,0.0003740042,0.0002020729,0.0001259662,0.001005599,0.00005097478,0.008520292,0.0005957526,0.1232316,0.01573094],"study_design_scores_gemma":[0.004377345,0.004615017,0.6852862,0.000454646,0.00003852246,0.00002533507,0.001000929,0.009339173,0.009995774,0.004156443,0.2793632,0.001347411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705772,0.0001105325,0.00002073827,0.003581063,0.0003028277,0.002472435,0.0002849153,0.00008438584,0.02256593],"genre_scores_gemma":[0.9953192,0.0003899351,0.00008018168,0.00008123829,0.0002432494,0.0008329288,0.0001891904,0.00003662613,0.002827457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1625565,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088114099435323,"score_gpt":0.3744095103162995,"score_spread":0.2655981003727672,"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."}}