{"id":"W6892076504","doi":"10.48580/df7lv","title":"Catalogue of Life Checklist","year":2023,"lang":"en","type":"dataset","venue":"The Catalogue of Life","topic":"","field":"","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; University of British Columbia; Agriculture and Agri-Food Canada","funders":"","keywords":"Checklist; Data collection; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002485539,0.001045639,0.002324574,0.0007370427,0.0001958798,0.00005343001,0.004850643,0.0008699459,0.0001264718],"category_scores_gemma":[0.006469266,0.0008240918,0.0006721425,0.001707816,0.001944475,0.0001911632,0.00173067,0.001363975,0.04749451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947063,"about_ca_system_score_gemma":0.002025033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04681884,"about_ca_topic_score_gemma":0.01433176,"domain_scores_codex":[0.9937007,0.0005063169,0.002154896,0.0009832891,0.001665357,0.0009894862],"domain_scores_gemma":[0.9898201,0.001103306,0.002734174,0.005292154,0.0004829319,0.0005673565],"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":[0.0002506433,0.0002750994,0.00003502547,0.001503568,0.0007148334,0.00003061458,0.0001720923,0.00005973823,0.0002052836,0.00006209167,0.9966802,0.00001079518],"study_design_scores_gemma":[0.001091094,0.0001504572,0.001144581,0.0004380225,0.0006847143,0.0000198254,0.0002661159,0.0000083816,0.0004069598,0.000125231,0.9947982,0.0008663923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002002723,0.001560093,0.000001519565,0.000414161,0.001398873,0.0009425884,0.9933824,0.0002212908,0.00007633503],"genre_scores_gemma":[0.002650689,0.0003726625,0.00002136531,0.0003672118,0.0009874539,0.0001342165,0.994677,0.0003800333,0.0004093757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04736804,"threshold_uncertainty_score":0.999421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477009520474059,"score_gpt":0.2744825441225909,"score_spread":0.2397124489178503,"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."}}