{"id":"W6947921101","doi":"10.48580/dfqc","title":"Catalogue of Life Checklist","year":2022,"lang":"en","type":"dataset","venue":"The Catalogue of Life","topic":"Libraries and Information Services","field":"Arts and Humanities","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011259,0.002996508,0.001726115,0.01240363,0.001728597,0.004486695,0.003202915,0.003146932,0.1822668],"category_scores_gemma":[0.0142906,0.001028376,0.001622346,0.0148559,0.0007906182,0.002602277,0.003511904,0.003154225,0.2799482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250113,"about_ca_system_score_gemma":0.00668142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04383506,"about_ca_topic_score_gemma":0.07215892,"domain_scores_codex":[0.9974961,0.0004529875,0.0004657469,0.0005689507,0.0006156058,0.0004005703],"domain_scores_gemma":[0.9911343,0.002293362,0.0007078053,0.001788648,0.003036724,0.001039051],"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":[0.00003005252,0.00001346566,0.0002935519,0.0003709015,0.000007417927,0.000009097237,0.00002099287,0.00007308654,0.00004586249,0.0004279237,0.9970674,0.001640163],"study_design_scores_gemma":[0.00008180096,0.00001016213,0.001789432,0.0002817036,0.00001183582,0.00003112535,0.0001009149,0.000120827,0.0001003453,0.00100008,0.9964483,0.00002351966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005434426,0.00004224488,0.00005747956,0.0000456372,0.00002181568,0.00001433869,0.9985399,0.0002059675,0.001018301],"genre_scores_gemma":[0.0001166677,0.00004360604,0.0002283434,0.00005234267,0.000004627816,0.0000578196,0.998579,0.00007637947,0.000841316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1822668,"threshold_uncertainty_score":0.6097431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219148281478438,"score_gpt":0.2140997571448127,"score_spread":0.1819082743300283,"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."}}