{"id":"W6948573968","doi":"10.48580/ddz4x","title":"Catalogue of Life Checklist","year":2023,"lang":"en","type":"dataset","venue":"The Catalogue of Life","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005196468,0.0003133885,0.0005834609,0.00005893881,0.0001171648,0.00001963802,0.00146873,0.0002708552,0.009112983],"category_scores_gemma":[0.0007004819,0.000236621,0.0002163359,0.0005068235,0.001057987,0.00007552089,0.0009595351,0.0003236386,0.01515841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068287,"about_ca_system_score_gemma":0.00008364551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260348,"about_ca_topic_score_gemma":0.01123058,"domain_scores_codex":[0.9978535,0.00008469485,0.0006455313,0.000382238,0.0006539912,0.000380072],"domain_scores_gemma":[0.997705,0.0001773076,0.0005980232,0.001270633,0.00002798858,0.0002210485],"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":[0.0000279998,0.00009699717,0.0001708073,0.0001521511,0.00004556236,0.00000392412,0.00005794363,0.000009358733,0.00008140427,0.00003945435,0.9992971,0.00001729788],"study_design_scores_gemma":[0.0002982498,0.0000546993,0.01178006,0.00003837367,0.00007729395,0.000003567832,0.0005716946,0.000002201556,0.0001686506,0.00002880891,0.9867129,0.0002635272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006784522,0.0002181376,0.000001199376,0.0006730515,0.0005488525,0.0002728935,0.9908283,0.00003709156,0.000636005],"genre_scores_gemma":[0.004632975,0.000569454,0.000002411056,0.0004975609,0.0001201677,0.00003778249,0.9937062,0.00002698991,0.0004064678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01258423,"threshold_uncertainty_score":0.9917928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340022751375573,"score_gpt":0.2546381796906677,"score_spread":0.2206359045531104,"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."}}