{"id":"W4244078753","doi":"10.1515/iupac.88.1062","title":"Microsatellite (in Genetics)","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Biology; 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":[0.001311958,0.001426541,0.00153514,0.004352192,0.0008892306,0.004115601,0.001899987,0.0016004,0.2487194],"category_scores_gemma":[0.01580463,0.0006685567,0.001277431,0.01050087,0.0004091967,0.00262939,0.002593216,0.001799319,0.247312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216854,"about_ca_system_score_gemma":0.00353307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01645238,"about_ca_topic_score_gemma":0.02734471,"domain_scores_codex":[0.9980971,0.0003640816,0.0004266716,0.0005780647,0.0003340945,0.0001999361],"domain_scores_gemma":[0.9938821,0.00222134,0.0008156436,0.001121684,0.001512639,0.0004467119],"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":[0.00007068011,0.000006743715,0.001172408,0.001780433,0.00003101603,0.00002497447,0.00003687048,0.00005329559,0.00006979939,0.0006830787,0.9898041,0.006266729],"study_design_scores_gemma":[0.00007632242,0.000006025305,0.002124614,0.000645331,0.00002120495,0.00004486503,0.00004557351,0.00002784256,0.00005968871,0.0006886767,0.9962481,0.00001167195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005936252,0.0002144111,0.00006920473,0.0001209386,0.00004843443,0.0000114928,0.997228,0.0002168334,0.002031348],"genre_scores_gemma":[0.0004113688,0.0003912278,0.0003363716,0.0003482098,0.00003174983,0.00009726443,0.9958516,0.0001756439,0.002356545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2487194,"threshold_uncertainty_score":0.8320494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190409710743545,"score_gpt":0.395096472732201,"score_spread":0.3831923756247655,"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."}}