{"id":"W4399522889","doi":"10.32614/cran.package.onbabynames","title":"onbabynames: Names Given to Babies in Ontario Between 1917 and 2018","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genealogy; Geography; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000482104,0.001127165,0.0008740657,0.002725724,0.00154303,0.001709357,0.002084038,0.001147356,0.02874677],"category_scores_gemma":[0.005272739,0.0004890377,0.0006755753,0.0069459,0.0005666774,0.0006432901,0.001486351,0.0009802488,0.01884126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006511095,"about_ca_system_score_gemma":0.01108414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7881352,"about_ca_topic_score_gemma":0.9220937,"domain_scores_codex":[0.9994177,0.0000495264,0.00006107709,0.0001240206,0.0001770036,0.0001705944],"domain_scores_gemma":[0.9974328,0.0003566987,0.0003798798,0.0003614103,0.001100094,0.0003691133],"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":[0.0001308438,0.0000154486,0.009753989,0.0005771465,0.00003877338,0.00007285875,0.0002145551,0.0001512698,0.0001305865,0.0005840845,0.9858262,0.002504307],"study_design_scores_gemma":[0.0002048041,0.00001619685,0.08808742,0.0005811865,0.00006384752,0.0001241888,0.0007378123,0.0002929861,0.0003484094,0.0006172209,0.9088855,0.00004030724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007978942,0.00006381392,0.00002003919,0.00005669873,0.0000134455,0.00000670208,0.9981754,0.00004515178,0.0008208648],"genre_scores_gemma":[0.002601336,0.00008748757,0.0001138153,0.00003298801,0.000006775667,0.0000487762,0.9950402,0.00002370208,0.002044828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2118648,"threshold_uncertainty_score":0.4262251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06969566778203944,"score_gpt":0.3736885073980038,"score_spread":0.3039928396159643,"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."}}