{"id":"W7028440731","doi":"","title":"First application of the AMBI index to the macrobenthic soft-bottom community of Terra Nova Bay (Ross Sea, Southern Ocean)","year":2022,"lang":"en","type":"article","venue":"DiRROS repository (University of Maribor)","topic":"Technology, Environment, Urban Planning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bay; Nova (rocket); Index (typography); Nova scotia; Estuary","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003372536,0.0001171448,0.0001979034,0.0000743711,0.001752093,0.00001453742,0.001152259,0.00006092032,0.0002913433],"category_scores_gemma":[0.00001239714,0.0001066531,0.0001237236,0.0001162296,0.0007546301,0.00007373992,0.001029295,0.0005399768,0.000006119064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120458,"about_ca_system_score_gemma":0.00002794837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007997147,"about_ca_topic_score_gemma":0.004053943,"domain_scores_codex":[0.9989676,0.0002100124,0.0001909194,0.0001682927,0.0003139103,0.000149304],"domain_scores_gemma":[0.9985654,0.00009392614,0.0004214722,0.0008364666,0.00005463799,0.00002805664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004131705,0.001170326,0.6991215,0.0002872923,0.0003776388,0.00001369996,0.2533816,0.005016698,0.009521266,0.009499028,0.01836039,0.002837363],"study_design_scores_gemma":[0.001058034,0.0003257282,0.5460758,0.00008649485,0.0002429935,0.00001604786,0.2005085,0.002447618,0.001290208,0.0003071891,0.2471969,0.0004445094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951426,0.0000579979,0.0003743552,0.0008154788,0.0001840834,0.0003745642,0.0003764963,0.00005367311,0.002620698],"genre_scores_gemma":[0.9970763,0.0000014647,0.00004319205,0.00006843694,0.00002269876,0.0000016982,0.00002169587,0.00001324699,0.002751241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2288365,"threshold_uncertainty_score":0.9995475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291310900806635,"score_gpt":0.1735621795977963,"score_spread":0.1606490705897299,"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."}}