{"id":"W6931024312","doi":"10.5281/zenodo.3838283","title":"miso-lims/miso-lims: v1.4.0","year":2020,"lang":"gl","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.002448789,0.004867258,0.002916963,0.002956958,0.001271067,0.007399539,0.008403833,0.004325335,0.517496],"category_scores_gemma":[0.004653235,0.001916271,0.002134812,0.002527963,0.001606832,0.003854023,0.006420651,0.002741577,0.6944019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845788,"about_ca_system_score_gemma":0.001414427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006598496,"about_ca_topic_score_gemma":0.004834438,"domain_scores_codex":[0.9990166,0.0001347612,0.00005254034,0.0002279729,0.0003839125,0.000184134],"domain_scores_gemma":[0.9988556,0.0001742856,0.00008831578,0.0003540818,0.0002272338,0.0003005231],"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":[0.0003213091,0.00004534936,0.0003825546,0.0005943857,0.00008855582,0.0001408263,0.00007307265,0.0026943,0.003292513,0.006860749,0.9508649,0.03464143],"study_design_scores_gemma":[0.000326284,0.00007977746,0.0007009748,0.0002193371,0.00004547703,0.000365319,0.00005022967,0.01598875,0.005332003,0.03447354,0.9422665,0.0001518867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001205588,0.001269078,0.09056386,0.0009481375,0.001221552,0.0002041117,0.0894867,0.7336887,0.08141226],"genre_scores_gemma":[0.03413164,0.00184055,0.08073926,0.002001126,0.001058019,0.001001217,0.246209,0.5028448,0.1301745],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.517496,"threshold_uncertainty_score":0.6882334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316314740202542,"score_gpt":0.2632602691309809,"score_spread":0.2100971217289555,"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."}}