{"id":"W6976889549","doi":"10.6078/d1799z","title":"Accepted marine Diptera from world register of marine species and aquatic annotations","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Marine species; Register (sociolinguistics); Marine biodiversity; Marine fish; Marine life; Biodiversity; Marine invertebrates; On the fly","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000874613,0.001992702,0.001779468,0.005212584,0.001086002,0.002013532,0.00256421,0.001839645,0.07943567],"category_scores_gemma":[0.005658653,0.0007104764,0.001208004,0.007904905,0.0004450196,0.001346917,0.002258833,0.001429187,0.08553529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291473,"about_ca_system_score_gemma":0.002796034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03093751,"about_ca_topic_score_gemma":0.06914195,"domain_scores_codex":[0.9987679,0.0001493228,0.0001653781,0.0004428036,0.0002789336,0.0001956455],"domain_scores_gemma":[0.9973797,0.0007574985,0.0003855634,0.0004381561,0.0007779798,0.0002611915],"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":[0.00009390489,0.0000160872,0.001753492,0.00205199,0.00006788615,0.00003318808,0.00004368336,0.0001799038,0.0002392326,0.0004732282,0.9919858,0.003061684],"study_design_scores_gemma":[0.0001622545,0.00001181341,0.01055791,0.0008060278,0.00007419714,0.00006200338,0.00009069452,0.0001361986,0.0002811356,0.0007451322,0.9870407,0.00003196131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009508443,0.00006599716,0.00003223656,0.0000159563,0.00001085358,0.000004497739,0.9993076,0.00006811371,0.0003996544],"genre_scores_gemma":[0.0002604245,0.00005012428,0.0001367651,0.00002340083,0.000003208359,0.00003244691,0.9990801,0.00002525043,0.000388297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07943567,"threshold_uncertainty_score":0.2657388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06106715581194874,"score_gpt":0.3191742559768018,"score_spread":0.2581071001648531,"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."}}