{"id":"W7064645459","doi":"","title":"The Canadian Genealogy Centre","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web site; Inheritance (genetic algorithm); Genetic genealogy; Family member","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":[0.004006964,0.0008328902,0.001101044,0.005951884,0.008184321,0.006922226,0.002998858,0.00145597,0.1478622],"category_scores_gemma":[0.01795686,0.0006079264,0.0005231056,0.008758841,0.001645855,0.002168487,0.00279496,0.001925145,0.03019509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0393131,"about_ca_system_score_gemma":0.1778084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798908,"about_ca_topic_score_gemma":0.9826881,"domain_scores_codex":[0.994527,0.0003815645,0.000203303,0.0006765007,0.003414153,0.0007973179],"domain_scores_gemma":[0.9806554,0.001046265,0.0003967507,0.001094137,0.01369031,0.0031171],"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":[0.00002984606,0.00001031439,0.001960843,0.0001116117,0.00001055725,0.0001081244,0.0002360995,0.0001162108,0.00008216115,0.01792599,0.9224405,0.05696758],"study_design_scores_gemma":[0.000006887689,0.000003308515,0.00335598,0.00009357876,0.000006299773,0.00004219374,0.0001731049,0.0001414808,0.00004832906,0.001372339,0.9947379,0.00001849083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004211891,0.011844,0.007091902,0.05137755,0.004310873,0.0005485952,0.168941,0.002714899,0.7489593],"genre_scores_gemma":[0.04220654,0.01702921,0.01897608,0.009095987,0.0006666355,0.0005186403,0.08109459,0.001501309,0.8289111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1478622,"threshold_uncertainty_score":0.4946484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009712557585507965,"score_gpt":0.2090205204723584,"score_spread":0.1993079628868505,"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."}}