{"id":"W7128801978","doi":"10.15468/hkw8rn","title":"FRB: Bottom fauna of Saint John Harbour and estuary as surveyed in 1959 and 1961","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Harbour; Fauna; Bay; SAINT; Estuary; Refinery; Ecosystem; Transect","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007430826,0.001167844,0.0008465435,0.004920458,0.0008685548,0.001463651,0.001926302,0.0008675593,0.02449398],"category_scores_gemma":[0.002312669,0.0006947512,0.0005829142,0.008221369,0.0003848425,0.0006952994,0.001563268,0.0009333796,0.02037534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004165034,"about_ca_system_score_gemma":0.004569297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6151199,"about_ca_topic_score_gemma":0.7452426,"domain_scores_codex":[0.999378,0.00003560425,0.00006011253,0.0001315424,0.0002054583,0.0001891587],"domain_scores_gemma":[0.9980363,0.0001757223,0.0003120218,0.0002773066,0.0008930376,0.0003055543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001563637,0.00003507903,0.02227346,0.0009147946,0.00009548446,0.0001059718,0.0003553487,0.0003538785,0.0005767804,0.0005540594,0.9682992,0.006279627],"study_design_scores_gemma":[0.0001565796,0.00002333016,0.306792,0.0004246881,0.00004985214,0.0001053602,0.0006243404,0.0003661304,0.0006044407,0.0002185806,0.6905773,0.00005743482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001220209,0.00003050844,0.00001676316,0.00001971669,0.000008399652,0.000005707377,0.9981939,0.0000540422,0.0004507574],"genre_scores_gemma":[0.001964194,0.00003505778,0.0001052935,0.00001368536,0.000003168054,0.00003591712,0.9968831,0.00002320674,0.0009363393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3848801,"threshold_uncertainty_score":0.7742934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03511578150819937,"score_gpt":0.3225538068974859,"score_spread":0.2874380253892865,"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."}}