{"id":"W6930313907","doi":"10.5281/zenodo.1237959","title":"nipy/nipype: Nipype 1.0.3","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Interface (matter); Workflow; Alias; Set (abstract data type); Directory; Hash function; Backward compatibility","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":[0.002199885,0.003276871,0.001425606,0.001810987,0.001150357,0.005034926,0.006335276,0.002947838,0.5204671],"category_scores_gemma":[0.01021936,0.00339927,0.002438936,0.001277351,0.0008406546,0.006709352,0.006817705,0.00383677,0.6179591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408904,"about_ca_system_score_gemma":0.001829587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006315807,"about_ca_topic_score_gemma":0.006800324,"domain_scores_codex":[0.9986286,0.00008441467,0.00009708399,0.0002783261,0.0006617691,0.0002497392],"domain_scores_gemma":[0.9966611,0.0004015551,0.0001331033,0.001340822,0.001097562,0.0003658862],"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":[0.0002037415,0.00002770833,0.0003787423,0.0002488756,0.0000168915,0.00007553745,0.00006226092,0.0003355961,0.002152089,0.001624225,0.9737387,0.02113564],"study_design_scores_gemma":[0.0001628565,0.00003300421,0.001020665,0.0001574505,0.00001885893,0.0002794639,0.00003808585,0.002356444,0.008842575,0.003609178,0.9833845,0.00009690565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006679496,0.0002940877,0.03149011,0.0004823975,0.0006434277,0.0001699597,0.04067211,0.8884093,0.0371707],"genre_scores_gemma":[0.007351229,0.000430331,0.0271968,0.000971233,0.0001971411,0.0003836128,0.09991796,0.7950577,0.06849405],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5204671,"threshold_uncertainty_score":0.6839955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197105030440667,"score_gpt":0.2382689377353334,"score_spread":0.2185584346912668,"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."}}