{"id":"W6969146521","doi":"10.5281/zenodo.6059865","title":"Wesmaelia petiolata Wollaston 1858","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Taxonomy (biology); Czech; Genus","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000331411,0.0001027599,0.0001046799,0.00002453898,0.00171276,0.0002550684,0.0006592785,0.00004611614,0.02287315],"category_scores_gemma":[0.0004549753,0.00004123144,0.00004600622,0.0003125976,0.0001255307,0.0001769931,0.0008530352,0.00008836485,0.01345074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006898324,"about_ca_system_score_gemma":5.787813e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001563246,"about_ca_topic_score_gemma":0.000002469464,"domain_scores_codex":[0.998818,0.0001453056,0.0001583676,0.0003221637,0.00023655,0.0003196334],"domain_scores_gemma":[0.9993936,0.00005322021,0.00005592097,0.0001169475,0.0002586819,0.0001215824],"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":[0.00003192031,0.00005415547,0.00006318867,0.000005996373,0.00001692735,0.000005035124,0.0001701417,3.031053e-7,0.2778116,0.0008879172,0.1047263,0.6162266],"study_design_scores_gemma":[0.0001558234,0.0001956454,0.01599269,0.00002388631,0.000003688248,0.00002868293,0.00008898081,0.000003908717,0.002135593,0.000131039,0.9811126,0.0001274612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.871816,0.00008541574,0.0001304729,0.007874258,0.00014745,0.0003158491,0.0003298622,0.00111364,0.118187],"genre_scores_gemma":[0.9976698,0.00009573128,0.00003567692,0.0001671595,0.0002572099,3.073891e-8,0.0002010192,0.0000555907,0.001517829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8763863,"threshold_uncertainty_score":0.9995869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380457601217706,"score_gpt":0.2199765129418933,"score_spread":0.1819307528201227,"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."}}