{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008386102,0.0003449707,0.0001390546,0.0008931124,0.0007100716,0.0003583096,0.0002331783,0.0001831728,0.006654937],"category_scores_gemma":[0.0002337076,0.000118948,0.00009690985,0.0005286366,0.0002426984,0.0006103229,0.0003696902,0.0002033535,0.001093922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966837,"about_ca_system_score_gemma":0.0001709316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894541,"about_ca_topic_score_gemma":0.01049893,"domain_scores_codex":[0.9999446,0.000004873978,0.000004629533,0.00002003665,0.00001387895,0.00001203134],"domain_scores_gemma":[0.9999156,0.00001554446,0.00003488096,0.000006847487,0.0000150122,0.00001211167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004584671,0.000123537,0.2277132,0.0006538844,0.0001300279,0.003222289,0.002739304,0.0009944622,0.06241528,0.003046903,0.01225528,0.6862474],"study_design_scores_gemma":[0.00002671801,0.0001209619,0.7743896,0.0002352689,0.00007151707,0.004163454,0.001397695,0.0004238445,0.004153854,0.00085432,0.2141453,0.00001749251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565555,0.01086392,0.002199379,0.0001803881,0.0001632117,0.000139028,0.002386457,0.0001896925,0.1273225],"genre_scores_gemma":[0.9864972,0.001214374,0.0009515224,0.00006394422,0.00003117162,0.00003392456,0.0008250785,0.00001106367,0.0103717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006654937,"threshold_uncertainty_score":0.02226299,"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."}}