{"id":"W2805844030","doi":"10.17605/osf.io/b76dt","title":"Coral functional traits framework - ECOSPHERE - Supporting information","year":2018,"lang":"en","type":"article","venue":"Open MIND","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coral reef; Ecology; Coral; Environmental resource management; Geography; Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002334106,0.001472075,0.0007816893,0.00392358,0.0006326637,0.002186613,0.002890815,0.001247928,0.4672568],"category_scores_gemma":[0.01323669,0.0005721805,0.001363317,0.003619876,0.000432051,0.001923649,0.003662955,0.001186154,0.1199291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007326,"about_ca_system_score_gemma":0.003259018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431709,"about_ca_topic_score_gemma":0.04003137,"domain_scores_codex":[0.9992454,0.0001267247,0.00006831854,0.0001109377,0.0002811216,0.0001674617],"domain_scores_gemma":[0.9951782,0.001647275,0.0003326253,0.00061252,0.001434597,0.0007946496],"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":[0.0001474308,0.00005665347,0.008555536,0.001232414,0.00007718801,0.0001059826,0.0001520347,0.003007115,0.0003422466,0.02028986,0.9234664,0.04256721],"study_design_scores_gemma":[0.0001510677,0.0000385742,0.01473702,0.001076049,0.000100569,0.000188358,0.0002876887,0.005036532,0.000743859,0.0307452,0.9468078,0.00008732621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001529183,0.0002669764,0.009141125,0.000797425,0.0003425658,0.0001945848,0.940636,0.003124324,0.04396779],"genre_scores_gemma":[0.03473605,0.001031961,0.05135207,0.0006134181,0.0002240082,0.001214742,0.8789472,0.006325466,0.02555506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4672568,"threshold_uncertainty_score":0.7598935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536009652541677,"score_gpt":0.3049037573400938,"score_spread":0.2695436608146771,"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."}}