{"id":"W2782777065","doi":"10.5070/p9351037565","title":"Cenozoic Marine Formations of Washington and Oregon: an annotated catalogue","year":2018,"lang":"en","type":"article","venue":"PaleoBios","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cenozoic; Geological survey; Chart; Margin (machine learning); Oceanography; Geology; Archaeology; Paleontology; Geography; Structural basin; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000255912,0.0007276929,0.0003159898,0.01136727,0.0008951328,0.001124321,0.0005695422,0.000205483,0.04930946],"category_scores_gemma":[0.0007798534,0.0003698518,0.0002019145,0.0218232,0.0002998367,0.001296026,0.0009062052,0.000407153,0.01275697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007947402,"about_ca_system_score_gemma":0.003087042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06539305,"about_ca_topic_score_gemma":0.158874,"domain_scores_codex":[0.9997844,0.000012223,0.0000653813,0.00004348412,0.00006745468,0.00002702023],"domain_scores_gemma":[0.9993476,0.00005801014,0.0001586026,0.00009027869,0.0002637954,0.00008174705],"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":[0.000145137,0.00006331,0.04201986,0.003095783,0.00003734777,0.0004166264,0.004309712,0.0004357653,0.003188425,0.008833198,0.5580241,0.3794307],"study_design_scores_gemma":[0.000006033472,0.000007455069,0.05552305,0.0004319956,0.00001077103,0.0001668145,0.001445098,0.00003610932,0.0002244752,0.0003620584,0.9417773,0.000008898697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04792579,0.00527324,0.002445186,0.000330015,0.0002856081,0.0004564727,0.772737,0.0008071489,0.1697396],"genre_scores_gemma":[0.04643187,0.01656463,0.01641102,0.0001095475,0.00006931114,0.0007987065,0.8479087,0.0004094885,0.07129673],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06539305,"threshold_uncertainty_score":0.1649566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693399908750498,"score_gpt":0.244321790402011,"score_spread":0.227387791314506,"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."}}