{"id":"W6894325088","doi":"10.5683/sp2/l7pb8x","title":"Dark extinction: The problem of unknown historical extinctions","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Extinction (optical mineralogy); Biodiversity; Habitat; Ecosystem; Extinction event; Global biodiversity; Habitat destruction; Climate change","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":[0.004918936,0.0008594597,0.001163419,0.003919888,0.0009084651,0.001995109,0.002543913,0.001348363,0.01666248],"category_scores_gemma":[0.02351926,0.0005526451,0.000879732,0.006533546,0.0006164913,0.001432777,0.001649253,0.001269163,0.007531945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288471,"about_ca_system_score_gemma":0.001146801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03500202,"about_ca_topic_score_gemma":0.06367623,"domain_scores_codex":[0.9968529,0.0008495329,0.0005385467,0.0009122079,0.0005795074,0.0002672272],"domain_scores_gemma":[0.9888911,0.004553098,0.002297054,0.002369438,0.001522082,0.0003671548],"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":[0.0003807812,0.00006854758,0.09735042,0.003254955,0.0005453529,0.000196087,0.0002411759,0.002556865,0.0002938554,0.004792353,0.8666187,0.02370085],"study_design_scores_gemma":[0.000349151,0.00006254705,0.1770947,0.001536442,0.0002618197,0.0005787297,0.0004566691,0.004000985,0.0006731634,0.007697598,0.8071644,0.0001238129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00673093,0.001511411,0.00141511,0.0008017833,0.0001564196,0.00002977964,0.9853988,0.0004081124,0.003547661],"genre_scores_gemma":[0.02711958,0.0004415194,0.002661627,0.0004851959,0.00006749252,0.0001737225,0.9675367,0.0001380355,0.001376096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03500202,"threshold_uncertainty_score":0.06959659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594025609192653,"score_gpt":0.2639894524622866,"score_spread":0.2380491963703601,"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."}}