{"id":"W6949363350","doi":"10.5281/zenodo.1155709","title":"Visualizing genome synteny with xmatchview","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Emperipolesis; Diafiltration; Liquation; Triacetin; Demotion","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00413681,0.001728122,0.001593197,0.006445555,0.001051274,0.003060568,0.002569533,0.00125973,0.3139374],"category_scores_gemma":[0.008234174,0.001420214,0.001683439,0.005286093,0.0003308636,0.002551019,0.002597142,0.001691404,0.1165837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006319616,"about_ca_system_score_gemma":0.002611879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004998579,"about_ca_topic_score_gemma":0.008669741,"domain_scores_codex":[0.9987802,0.0001878021,0.00016151,0.0003548892,0.0004253181,0.00009041607],"domain_scores_gemma":[0.9964426,0.001598975,0.0003316066,0.0005057833,0.000885328,0.0002356943],"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":[0.0003096165,0.00003567525,0.001666414,0.00433594,0.0002621031,0.000242319,0.000487813,0.0006865029,0.007948857,0.004391752,0.9144621,0.06517081],"study_design_scores_gemma":[0.0001683778,0.00004341158,0.003226718,0.000470392,0.000142837,0.0002519003,0.0001066897,0.001963844,0.008155981,0.005388557,0.9800022,0.00007921529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004368319,0.002896779,0.1047806,0.00124415,0.001290335,0.0004502173,0.4980775,0.3480389,0.03885321],"genre_scores_gemma":[0.02182701,0.002632353,0.149987,0.0006633519,0.0004122803,0.001503685,0.5663484,0.205734,0.05089191],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3139374,"threshold_uncertainty_score":0.9785851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791597455698583,"score_gpt":0.2489338500149113,"score_spread":0.2110178754579255,"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."}}