{"id":"W6949895425","doi":"10.5281/zenodo.4321298","title":"rfernand387/LEAF-Toolbox: LEAF-Toolbox","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Government of Ontario","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":[0.001557853,0.003168082,0.001837871,0.002306018,0.0007105478,0.003727944,0.004022897,0.002635785,0.3363158],"category_scores_gemma":[0.00408218,0.001818089,0.001611739,0.001541129,0.0006591377,0.003475034,0.003393689,0.002980795,0.5018314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009997993,"about_ca_system_score_gemma":0.001076951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665359,"about_ca_topic_score_gemma":0.003008053,"domain_scores_codex":[0.9989857,0.0001311585,0.00007338893,0.0002829256,0.0003741995,0.0001526112],"domain_scores_gemma":[0.9985477,0.000378807,0.00009984305,0.0004591208,0.0003514978,0.0001629257],"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":[0.0002570355,0.00004283553,0.0003419023,0.000852267,0.00006338699,0.0001206346,0.0001144169,0.002267665,0.003681642,0.01032592,0.9309912,0.05094102],"study_design_scores_gemma":[0.0001601283,0.00002255316,0.000410789,0.0001651842,0.00002781111,0.0001912131,0.00002475754,0.009697867,0.007899305,0.0149291,0.9663723,0.00009909631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0009005475,0.0005599978,0.1205357,0.0003237313,0.0002303537,0.0001028574,0.07279341,0.7501813,0.05437215],"genre_scores_gemma":[0.01484306,0.0006541287,0.06504218,0.0008364639,0.0001577592,0.0005226062,0.177231,0.6695545,0.07115821],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3363158,"threshold_uncertainty_score":0.9466649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792183908627738,"score_gpt":0.2463081751698809,"score_spread":0.2083863360836035,"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."}}