{"id":"W6893626797","doi":"10.5281/zenodo.4086109","title":"globalbioticinteractions/globalbioticinteractions v0.19.2","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Search engine indexing; Taxon; Ecoregion; Graph; Property (philosophy); Code (set theory); Node (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001575213,0.003958681,0.002220637,0.006651149,0.001534411,0.006106854,0.00432758,0.001885266,0.2398331],"category_scores_gemma":[0.007183204,0.00234782,0.002932688,0.009081321,0.0005836419,0.006763438,0.007428623,0.003136047,0.3973115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667574,"about_ca_system_score_gemma":0.002524305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01782076,"about_ca_topic_score_gemma":0.02630885,"domain_scores_codex":[0.9987225,0.000132914,0.0001522586,0.0003865395,0.0004180683,0.000187689],"domain_scores_gemma":[0.9974723,0.0003493177,0.0001566449,0.001083734,0.0006422527,0.0002957533],"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":[0.0000431672,0.0000116289,0.000441243,0.0006129085,0.00003476785,0.00002093476,0.00006877722,0.000110143,0.0003880463,0.0008141309,0.9927307,0.004723488],"study_design_scores_gemma":[0.0000601569,0.000008695606,0.001279175,0.0001398416,0.00001954854,0.00004339258,0.00006397699,0.000237027,0.0005717201,0.001815958,0.9957321,0.00002838515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003078671,0.0002014599,0.002018635,0.0001573425,0.0001414253,0.00009504266,0.9024156,0.08375257,0.01091003],"genre_scores_gemma":[0.0007229654,0.0001549798,0.004089338,0.0001858002,0.00002119665,0.0002058556,0.9695559,0.02187754,0.003186509],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2398331,"threshold_uncertainty_score":0.8023216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912389551999461,"score_gpt":0.2784699319717795,"score_spread":0.2393460364517849,"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."}}