{"id":"W6892192860","doi":"10.5061/dryad.wstqjq2gd","title":"The Burgess Shale paleocommunity with new insights from Marble Canyon, British Columbia","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Canyon; Oil shale; Taphonomy; National park; Paleoecology; Taxon; Fauna; Cave","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":[0.0004900895,0.0004088584,0.0004900129,0.005196352,0.003317344,0.002370609,0.000871665,0.0003798762,0.003450784],"category_scores_gemma":[0.001032889,0.0003626461,0.0002215281,0.008748295,0.00086038,0.0004966898,0.001887311,0.0006751978,0.0006375785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006920683,"about_ca_system_score_gemma":0.009426083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9728377,"about_ca_topic_score_gemma":0.9960347,"domain_scores_codex":[0.9994148,0.00004135209,0.00003184053,0.0001406881,0.0001662188,0.0002051998],"domain_scores_gemma":[0.9986885,0.00007649961,0.0001408392,0.00009629063,0.0007245418,0.0002733596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009413336,0.00005597268,0.9074752,0.0002466674,0.0001578837,0.0007398615,0.01020086,0.0003928157,0.003937214,0.0005084542,0.009217556,0.06697333],"study_design_scores_gemma":[0.000002031939,0.000003970466,0.9850914,0.0001299378,0.00001477519,0.00007285057,0.003652524,0.0001244428,0.00007213435,0.0000526935,0.01077433,0.000009010281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9734022,0.006320953,0.0002879426,0.0005122265,0.0000252858,0.00003474951,0.007042923,0.00002750685,0.0123462],"genre_scores_gemma":[0.9832262,0.003081402,0.0009731223,0.000327823,0.00001871908,0.0000433006,0.007217311,0.00004731547,0.005064804],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02716231,"threshold_uncertainty_score":0.05464453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871217266560941,"score_gpt":0.226986396029144,"score_spread":0.1982742233635346,"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."}}