{"id":"W6966942725","doi":"10.48580/dfrt","title":"Catalogue of Life Checklist","year":2023,"lang":"en","type":"dataset","venue":"The Catalogue of Life","topic":"International Environmental Law and Policies","field":"Environmental Science","cited_by":1,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998023,0.003034436,0.00186785,0.01154284,0.001568647,0.004932183,0.003421101,0.003537711,0.2117383],"category_scores_gemma":[0.0149377,0.001256531,0.001856866,0.01743757,0.0008121449,0.003055817,0.003719642,0.003539984,0.2852227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641818,"about_ca_system_score_gemma":0.006523661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04893283,"about_ca_topic_score_gemma":0.06869107,"domain_scores_codex":[0.9977385,0.0003945167,0.0004210252,0.0005081373,0.0005336942,0.0004041326],"domain_scores_gemma":[0.9917849,0.00230428,0.0007277282,0.001687752,0.002471538,0.001023928],"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":[0.00002869375,0.000009985055,0.000248546,0.000494085,0.000009301267,0.00000996583,0.00002555523,0.0001064979,0.00004989373,0.0006600157,0.9968147,0.001542708],"study_design_scores_gemma":[0.00007823219,0.000007060241,0.001246319,0.0003531442,0.00001325095,0.00002354772,0.00007727247,0.0001181412,0.00008246073,0.001520111,0.996457,0.00002338964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003185571,0.00003470856,0.00005363819,0.00004508986,0.00001808856,0.000008088878,0.9987199,0.0002207836,0.000867699],"genre_scores_gemma":[0.0001004354,0.00005555069,0.0002465013,0.00005942244,0.000003950568,0.00004797472,0.9987032,0.0001126339,0.0006703329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2117383,"threshold_uncertainty_score":0.7083353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142956519521847,"score_gpt":0.2340247243815114,"score_spread":0.2197290724293267,"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."}}