{"id":"W4234853714","doi":"10.1515/iupac.88.1077","title":"Mosaicism","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001533369,0.001245824,0.001325323,0.004459912,0.001505696,0.003478621,0.002341073,0.001609552,0.1315396],"category_scores_gemma":[0.01353159,0.0008038511,0.001809406,0.006815384,0.0005722266,0.002561093,0.003213404,0.001758109,0.09455588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505641,"about_ca_system_score_gemma":0.002961112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648675,"about_ca_topic_score_gemma":0.03502359,"domain_scores_codex":[0.9979461,0.0003259472,0.0004260792,0.0005973725,0.0004637837,0.0002405753],"domain_scores_gemma":[0.9948301,0.001729288,0.0006248818,0.001530789,0.001009889,0.0002750696],"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":[0.0001114546,0.00001402223,0.002333934,0.001511666,0.0000447925,0.00004879739,0.00007257538,0.000207306,0.000220198,0.002647013,0.9837653,0.00902285],"study_design_scores_gemma":[0.0001011569,0.00001200184,0.005201574,0.0007345013,0.00003137981,0.0001846494,0.0001024661,0.0001961268,0.0002339714,0.003553485,0.9896209,0.00002766057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002918642,0.0002349152,0.0003113591,0.0001473554,0.00004774072,0.00002687304,0.9957845,0.0004681273,0.002687336],"genre_scores_gemma":[0.0008786033,0.0002523806,0.0008958028,0.0001580746,0.00001340297,0.0001394801,0.9960146,0.0001759565,0.00147161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1315396,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409601182618215,"score_gpt":0.4630822864702477,"score_spread":0.4389862746440655,"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."}}