{"id":"W4394440836","doi":"10.6084/m9.figshare.13634912","title":"Canadian Salmonella Heidelberg Genome fastas from 2013","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmonella; Biology; Computational biology; Genetics; Bacteria","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":[0.001187584,0.002446706,0.002263061,0.006684178,0.003401995,0.003171813,0.003791429,0.001643522,0.1193398],"category_scores_gemma":[0.007806823,0.001147793,0.001418571,0.01866862,0.000560671,0.001282809,0.002375412,0.002045249,0.08837559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007672037,"about_ca_system_score_gemma":0.01706219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5821195,"about_ca_topic_score_gemma":0.7227619,"domain_scores_codex":[0.9985379,0.000104632,0.0001166931,0.0004432499,0.0004974049,0.0003000764],"domain_scores_gemma":[0.996025,0.0006091981,0.0002752629,0.0006280133,0.001987025,0.0004755708],"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":[0.0001000666,0.000007583825,0.0005537426,0.0006091834,0.00003396389,0.00001780983,0.0000344839,0.0001329501,0.0001617101,0.0003284384,0.996087,0.001933182],"study_design_scores_gemma":[0.0001925335,0.00001221816,0.006423311,0.0004287228,0.0000704386,0.00004328858,0.00007918931,0.0001859162,0.000334833,0.0006945835,0.9914907,0.00004428878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004816291,0.00003738375,0.0000189349,0.00002073313,0.000006549384,0.000003662701,0.999338,0.000132428,0.0003941485],"genre_scores_gemma":[0.0001282327,0.00004404586,0.0001093717,0.0000128196,0.000001486532,0.00001737724,0.999366,0.00005070271,0.0002699695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4178805,"threshold_uncertainty_score":0.8406829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045769314255663,"score_gpt":0.2694126393761941,"score_spread":0.2489549462336375,"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."}}