{"id":"W6912513203","doi":"10.5281/zenodo.4506069","title":"Nothybus sumatranus Enderlein 1922","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Black spot; Orange (colour); Spots; Margin (machine learning)","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":[0.000089753,0.0003707906,0.0002445889,0.0009114692,0.001212632,0.0002570545,0.0003054328,0.0002641371,0.009958641],"category_scores_gemma":[0.0002460369,0.0001626137,0.0001043543,0.0007049993,0.0004513806,0.0007792287,0.0009564793,0.0004168891,0.001679688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224768,"about_ca_system_score_gemma":0.0002765433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005251667,"about_ca_topic_score_gemma":0.01206514,"domain_scores_codex":[0.9998505,0.00001677097,0.00001697961,0.00003769811,0.0000554286,0.00002266943],"domain_scores_gemma":[0.999905,0.00001197948,0.00003388102,0.00001469702,0.00002238916,0.00001209043],"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":[0.0006311969,0.0002716938,0.06692691,0.001001196,0.0001047341,0.00572491,0.003637415,0.001512704,0.04043229,0.008676224,0.02705243,0.8440283],"study_design_scores_gemma":[0.0001622558,0.0004052515,0.564258,0.0006253118,0.0001536934,0.01317012,0.002800914,0.001722187,0.006256765,0.004744774,0.4056377,0.00006299394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6256379,0.005181225,0.002894791,0.0004923018,0.0004217401,0.0002219166,0.001530677,0.0002120748,0.3634073],"genre_scores_gemma":[0.9723155,0.001430864,0.001641286,0.0002768981,0.00006383,0.00006222769,0.0009941366,0.00001772798,0.02319754],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009958641,"threshold_uncertainty_score":0.033315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586857158502232,"score_gpt":0.2230551779324035,"score_spread":0.1971866063473811,"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."}}