{"id":"W6931358381","doi":"10.5281/zenodo.5096620","title":"Dinoderus minutus","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Bamboo; Tropics; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009958303,0.0001196061,0.0001059079,0.0002124206,0.001653706,0.001043778,0.001928805,0.00004782785,0.001331466],"category_scores_gemma":[0.0002165672,0.0001226611,0.00004747728,0.0006591589,0.0000659502,0.0003844052,0.0018748,0.0001948255,0.004657408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013638,"about_ca_system_score_gemma":0.000002607539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001813217,"about_ca_topic_score_gemma":2.989888e-7,"domain_scores_codex":[0.9984028,0.00009636059,0.0002251933,0.0004256161,0.0003525841,0.0004974567],"domain_scores_gemma":[0.9987999,0.00003645179,0.00007304854,0.0006077683,0.0002812167,0.0002016628],"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":[0.00001810233,0.0001152106,0.00001866936,0.00002254164,0.0000261963,0.00007226627,0.002312824,0.0000925213,0.003442657,0.05458551,0.09531801,0.8439755],"study_design_scores_gemma":[0.0002897443,0.000107378,0.002211667,0.00001560459,0.000003169333,0.0001674045,0.00009413852,0.004873694,0.001287103,0.0004812088,0.9902861,0.0001827643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02522939,0.0001123238,0.687925,0.0007586856,0.0003656482,0.0002151549,0.00000972634,0.002057238,0.2833268],"genre_scores_gemma":[0.989717,0.00001522261,0.008409631,0.0003198622,0.0002435324,6.008846e-9,0.00008106777,0.0005876465,0.0006260525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9644876,"threshold_uncertainty_score":0.9999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785262346245722,"score_gpt":0.246970460317757,"score_spread":0.2091178368552998,"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."}}