{"id":"W7002157652","doi":"","title":"Materials: Canadian Genetic Non-Discrimination Act","year":2019,"lang":"en","type":"article","venue":"Waseda University Repository (Waseda University)","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); Inheritance (genetic algorithm); Population; Genetic data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005803418,0.001301691,0.0009721076,0.006320321,0.01355032,0.004848317,0.003932816,0.003279102,0.3702736],"category_scores_gemma":[0.03271448,0.001182606,0.0006415298,0.004826177,0.001836487,0.001360963,0.002338463,0.003131004,0.1000238],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02638148,"about_ca_system_score_gemma":0.09191637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8784161,"about_ca_topic_score_gemma":0.9357199,"domain_scores_codex":[0.9938624,0.0007297187,0.0003785388,0.0005641943,0.00322842,0.001236807],"domain_scores_gemma":[0.972985,0.00448287,0.0004766364,0.004241901,0.01543456,0.002379077],"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":[0.00007028391,0.00005474406,0.0008151394,0.00005697848,0.000002922311,0.0001125924,0.0002663529,0.00005862715,0.00009674699,0.007883464,0.9822005,0.00838159],"study_design_scores_gemma":[0.00007916775,0.00001520261,0.00608679,0.0001711094,0.00001025471,0.0001748717,0.0004618539,0.0001069303,0.000284493,0.002196312,0.9903789,0.00003414708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006536105,0.0006259873,0.003585314,0.01176365,0.003115291,0.004245407,0.4242013,0.00103193,0.544895],"genre_scores_gemma":[0.0253987,0.001095225,0.008553895,0.009085493,0.0004491427,0.004736669,0.1726827,0.0008035502,0.7771947],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9736185,"threshold_uncertainty_score":0.8982282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00497876366335677,"score_gpt":0.159054417534478,"score_spread":0.1540756538711212,"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."}}