{"id":"W6892218469","doi":"10.5061/dryad.167d5/1","title":"Microsatellite genotypes of fisher (Pekania [Martes] pennanti, Erxleben, 1777) of the Great Lakes region, Ontario, Canada","year":2017,"lang":"en","type":"other","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microsatellite; Genotype; Genetic variation; Identification (biology); Allele","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002042763,0.000671341,0.001084672,0.0001804267,0.0001560334,0.00005276906,0.001841768,0.0004877837,0.004379938],"category_scores_gemma":[0.00009255381,0.0004991344,0.0003151489,0.0001891145,0.0006198546,0.0000730782,0.0002660115,0.0004593235,0.0002514967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004771354,"about_ca_system_score_gemma":0.002611242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926429,"about_ca_topic_score_gemma":0.9997628,"domain_scores_codex":[0.9973011,0.0001424414,0.0005583402,0.0006613121,0.0007430332,0.0005937486],"domain_scores_gemma":[0.9947751,0.00005684461,0.001921967,0.002879382,0.0002395532,0.000127185],"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":[0.0000458705,0.00004225324,0.03710859,0.0002136582,0.0003668806,0.00003836183,0.0003446313,9.867505e-7,0.002235797,0.00006116059,0.9589645,0.0005772894],"study_design_scores_gemma":[0.0004620758,0.00002600776,0.03627509,0.0009281821,0.0002542458,0.00001990472,0.00001772532,8.501371e-7,0.002014834,0.00004645438,0.9594581,0.0004965511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01576219,0.006566879,0.000002309141,0.000181845,0.00186426,0.001193139,0.00256418,0.0001138358,0.9717513],"genre_scores_gemma":[0.01348961,0.000149007,0.0001164257,0.0001027472,0.0002465797,0.00001576187,0.0001677905,0.001018846,0.9846932],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01294187,"threshold_uncertainty_score":0.999746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245370023380339,"score_gpt":0.2043273252663257,"score_spread":0.1918736250325223,"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."}}