{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003894935,0.0003071007,0.0004826676,0.00006193059,0.0001030361,0.00001321379,0.001478547,0.0002141342,0.0007655761],"category_scores_gemma":[0.0002801155,0.0002291803,0.0002023312,0.0001979701,0.001265614,0.00009039463,0.0009800693,0.0003137552,0.007963078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086594,"about_ca_system_score_gemma":0.00005991334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.066828,"about_ca_topic_score_gemma":0.005706965,"domain_scores_codex":[0.9979414,0.00008024233,0.0006288529,0.0003177253,0.0007282187,0.0003035139],"domain_scores_gemma":[0.9981342,0.0002325656,0.0005501464,0.0009213281,0.000009644584,0.000152111],"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":[0.00003019301,0.00008649726,0.0001597237,0.00008784116,0.00007249438,0.000003191233,0.00008026818,0.0003252835,0.0001353408,0.0002041664,0.9987972,0.00001778953],"study_design_scores_gemma":[0.0002112447,0.00006593437,0.00600535,0.00004596251,0.00006465758,0.000004884013,0.00005375833,0.000008565448,0.0004097995,0.0001517053,0.992731,0.0002471023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006644301,0.0001293504,0.00000168645,0.0005287048,0.000480535,0.0002401888,0.9906123,0.00001821062,0.001344773],"genre_scores_gemma":[0.009207884,0.0002489208,0.00001353662,0.0007765801,0.0002147346,0.00003160314,0.9871296,0.00003334542,0.002343777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06112104,"threshold_uncertainty_score":0.9928094,"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."}}