{"id":"W6931293110","doi":"10.5281/zenodo.4213609","title":"globalbioticinteractions/globalbioticinteractions v0.19.4","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Search engine indexing; Extension (predicate logic); Interface (matter); Prefix; Identification (biology)","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":[0.003587136,0.004387727,0.002072096,0.002797061,0.001320009,0.004597325,0.006543644,0.002388051,0.2814509],"category_scores_gemma":[0.01272549,0.00364865,0.002704982,0.002683681,0.0009622258,0.007766494,0.006651813,0.004514106,0.3627665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866885,"about_ca_system_score_gemma":0.001757187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007842232,"about_ca_topic_score_gemma":0.007090665,"domain_scores_codex":[0.9971408,0.0003357696,0.000235778,0.0006724956,0.001293425,0.0003217821],"domain_scores_gemma":[0.9941351,0.0008684302,0.0002514771,0.00277202,0.001404457,0.0005685205],"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":[0.0002408764,0.00003804696,0.0004489678,0.0003117178,0.00004917096,0.00005441198,0.00005944066,0.0002340046,0.001937207,0.001597945,0.9796746,0.01535364],"study_design_scores_gemma":[0.0002341305,0.00003714062,0.001033501,0.0000933417,0.0000416588,0.0001492024,0.00003801247,0.002428635,0.009495767,0.005355658,0.9810033,0.00008960435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006282386,0.0002435251,0.02480973,0.0004299617,0.0003787708,0.0001543581,0.05745764,0.8955407,0.02035713],"genre_scores_gemma":[0.007931467,0.0003432189,0.04006863,0.001198037,0.0001800653,0.0007001958,0.2837807,0.6236001,0.04219748],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2814509,"threshold_uncertainty_score":0.941547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252008696353927,"score_gpt":0.2966773307757311,"score_spread":0.2541572438121918,"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."}}