{"id":"W7077061774","doi":"10.48580/dglq4","title":"Catalogue of Life","year":2024,"lang":"en","type":"dataset","venue":"The Catalogue of Life","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":7,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020314,0.002695804,0.001498698,0.00883085,0.001142741,0.004132486,0.002200311,0.002583037,0.1563249],"category_scores_gemma":[0.01130092,0.0008423794,0.001578957,0.01681888,0.0005714646,0.002233867,0.002375425,0.002298633,0.2324015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742426,"about_ca_system_score_gemma":0.004494147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03718214,"about_ca_topic_score_gemma":0.04624181,"domain_scores_codex":[0.9984844,0.0002646574,0.000235734,0.0003996966,0.0003815542,0.0002340035],"domain_scores_gemma":[0.9955441,0.001476096,0.0004552712,0.0007216478,0.001234179,0.0005687647],"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":[0.00004466804,0.000009590442,0.0004141997,0.000586241,0.00001653613,0.0000160783,0.00002833749,0.0002013799,0.00006068686,0.0007624399,0.9946938,0.003166085],"study_design_scores_gemma":[0.00006888151,0.000008549708,0.001608133,0.0003367036,0.00001862746,0.00003578504,0.00006244756,0.0001538661,0.00009228227,0.001435855,0.9961598,0.00001908838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007090126,0.0001311263,0.00006571299,0.00007068703,0.00002420724,0.000005814858,0.9978982,0.0003027064,0.001430708],"genre_scores_gemma":[0.0002111235,0.0001648233,0.0002346081,0.00008598235,0.000006711461,0.00003023496,0.9980732,0.0001026246,0.00109059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1563249,"threshold_uncertainty_score":0.522959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564821303474349,"score_gpt":0.2753204998896677,"score_spread":0.2496722868549242,"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."}}