{"id":"W7098413481","doi":"","title":"Cancer patterns in Inuit Nunangat: 19982007","year":2016,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Cancer incidence; Incidence (geometry); Rest (music); Disease","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":[0.0002094826,0.000304672,0.0001924723,0.001241445,0.0009478282,0.0004884187,0.0009261788,0.0003505509,0.001523535],"category_scores_gemma":[0.0005309828,0.0002549648,0.0002636125,0.0022819,0.0003139201,0.0003343073,0.0007316209,0.0002701823,0.000244408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003352414,"about_ca_system_score_gemma":0.001757648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7823071,"about_ca_topic_score_gemma":0.8811014,"domain_scores_codex":[0.9998242,0.00001943971,0.00001798874,0.00004789346,0.000037352,0.00005312943],"domain_scores_gemma":[0.999621,0.00002402259,0.0001046273,0.00001413476,0.0001220286,0.0001141486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001424806,0.00004691539,0.9901292,0.00007480874,0.00006577772,0.0002862957,0.002391649,0.0001170715,0.001438111,0.00009876995,0.001120441,0.004088433],"study_design_scores_gemma":[0.000004213086,0.00002646326,0.9958892,0.00001688193,0.00002346731,0.0001651955,0.001918935,0.000224236,0.0001696978,0.00001116202,0.001543579,0.00000679409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925882,0.0003374286,0.0000983301,0.0001295676,0.00001002021,0.00002072267,0.005405869,0.00001724093,0.00139258],"genre_scores_gemma":[0.9963568,0.0001571144,0.0001580613,0.00004557226,0.000004092451,0.00002386999,0.002079648,0.000007151915,0.001167711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176929,"threshold_uncertainty_score":0.4379499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517866634286141,"score_gpt":0.295325881695835,"score_spread":0.2801472153529736,"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."}}