{"id":"W6931508457","doi":"10.5281/zenodo.5213984","title":"Hypomma fulvum","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Marsh; Biodiversity; Taxon; Nature reserve; Taxonomy (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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004034292,0.00007936056,0.00007587815,0.0000879474,0.000815651,0.001112618,0.00119959,0.00003879873,0.002310939],"category_scores_gemma":[0.0007100112,0.00008704636,0.00003406492,0.0005828468,0.00002862075,0.0004852629,0.00149719,0.0001840242,0.002764151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004698458,"about_ca_system_score_gemma":0.000003759827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002923176,"about_ca_topic_score_gemma":3.38336e-8,"domain_scores_codex":[0.9989733,0.0001582585,0.0001208897,0.000300127,0.0002256823,0.0002217917],"domain_scores_gemma":[0.9988639,0.00004305561,0.00004456161,0.0005969856,0.0003483822,0.0001031186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007838508,0.0001194238,0.000003356572,0.0000404012,0.00003363363,0.0001358164,0.000728775,0.00009135935,0.004764201,0.1153096,0.3897128,0.4890527],"study_design_scores_gemma":[0.00009955137,0.00005911483,0.0002043778,0.00001020078,0.000002617478,0.0002776273,0.00002066524,0.001383807,0.002674479,0.000995276,0.9941635,0.0001088308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001270531,0.0002049397,0.8974138,0.002612229,0.0001972588,0.0001135391,0.00002512493,0.003732592,0.09442993],"genre_scores_gemma":[0.7598242,0.0005613064,0.2284889,0.001537724,0.0005627862,1.051511e-7,0.0009810046,0.002556854,0.005487101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7585537,"threshold_uncertainty_score":0.9999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529606596294033,"score_gpt":0.2469055768237972,"score_spread":0.2116095108608568,"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."}}