{"id":"W6966622273","doi":"10.48580/dg9ld","title":"Catalogue of Life","year":2024,"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":"Identification (biology); Natural (archaeology); Exposition (narrative); Key (lock)","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":[0.001874676,0.0009753483,0.001989762,0.0007219902,0.0001131645,0.00006404288,0.003942433,0.0007796203,0.0003291373],"category_scores_gemma":[0.002915398,0.0007152651,0.0006646905,0.00124106,0.001554851,0.000170227,0.001615488,0.001543632,0.06746512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687978,"about_ca_system_score_gemma":0.002121198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072404,"about_ca_topic_score_gemma":0.004607139,"domain_scores_codex":[0.994553,0.0004123324,0.00187303,0.0009533064,0.001416222,0.0007920594],"domain_scores_gemma":[0.9921327,0.0007665177,0.001608568,0.004667039,0.0003440595,0.0004810789],"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":[0.0001966069,0.0002346816,0.00001466714,0.002567147,0.0008809107,0.00003852062,0.0002231756,0.00003451622,0.000174517,0.0001117847,0.9955078,0.00001570123],"study_design_scores_gemma":[0.0005454926,0.0001435174,0.0001084441,0.0006151226,0.001022877,0.00003485873,0.0001769643,0.000007694071,0.0003842421,0.0002802387,0.996011,0.0006695013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001352507,0.00756453,0.000001311988,0.0004698794,0.001643521,0.0008085184,0.9878963,0.0001484933,0.000114976],"genre_scores_gemma":[0.006063411,0.0003727064,0.00002521465,0.0004299552,0.00101787,0.0000951029,0.9915463,0.0002930293,0.0001564289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06713598,"threshold_uncertainty_score":0.9995298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02634520988815826,"score_gpt":0.2662054223869603,"score_spread":0.239860212498802,"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."}}