{"id":"W2742650289","doi":"10.3897/tdwgproceedings.1.19993","title":"mangal - making sense of biotic interaction data","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hierarchy; Modularity (biology); Computer science; Function (biology); Biodiversity; Modular design; Data science; Ecology; Core (optical fiber); Data presentation; Presentation (obstetrics); Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01465782,0.001221555,0.0007981844,0.004305974,0.001355748,0.006799448,0.004196792,0.001306382,0.01221799],"category_scores_gemma":[0.07348561,0.001274022,0.001954713,0.00551423,0.002179478,0.01449351,0.0104882,0.003205921,0.005673084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866174,"about_ca_system_score_gemma":0.002825785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006358986,"about_ca_topic_score_gemma":0.007304672,"domain_scores_codex":[0.9919619,0.002139116,0.00186118,0.001532578,0.002148654,0.0003566417],"domain_scores_gemma":[0.9403937,0.02228389,0.002680955,0.02653429,0.006814147,0.001293054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009030345,0.0001882395,0.01858013,0.001648127,0.0002188212,0.0006516546,0.00351285,0.01519041,0.005041888,0.3511662,0.2845185,0.3183801],"study_design_scores_gemma":[0.00009801795,0.00008191822,0.003646996,0.0004729392,0.00005095735,0.000351143,0.000773968,0.04084925,0.009142697,0.196844,0.7475212,0.0001670789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01052439,0.000298753,0.7969232,0.003838924,0.0007375132,0.000690926,0.08786053,0.07830171,0.0208241],"genre_scores_gemma":[0.1149101,0.0005259863,0.7281647,0.00203625,0.0002817051,0.002105167,0.129439,0.01387766,0.008659427],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01465782,"threshold_uncertainty_score":0.07751894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07442395284927976,"score_gpt":0.3242268407257539,"score_spread":0.2498028878764741,"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."}}