{"id":"W6949878385","doi":"10.5281/zenodo.3680534","title":"Anthelephila strigosa Kejval & Mz & Ch- 2018, stat. nov.","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera: Cerambycidae studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Margin (machine learning); Survey research; Insect; Column (typography)","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":[0.0003304364,0.0009501903,0.0005995062,0.002264402,0.001644673,0.0008477577,0.00118493,0.001211008,0.02513915],"category_scores_gemma":[0.001276476,0.0005671513,0.0003804933,0.001956469,0.0008767333,0.002541441,0.001216164,0.001366986,0.02487136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007440169,"about_ca_system_score_gemma":0.0008300063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009411394,"about_ca_topic_score_gemma":0.02196904,"domain_scores_codex":[0.999559,0.00004651142,0.00007028557,0.0001262342,0.0001269836,0.00007093674],"domain_scores_gemma":[0.9994578,0.00007617611,0.0001375778,0.00008453763,0.000192101,0.00005182952],"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":[0.0007802161,0.0002163937,0.03136685,0.002128222,0.0001713796,0.00269172,0.001767482,0.001706336,0.02332287,0.004693138,0.102404,0.8287513],"study_design_scores_gemma":[0.0001957902,0.0004275064,0.1590166,0.0008905038,0.0002751007,0.008311807,0.001726123,0.0007055329,0.002681694,0.001623137,0.8240761,0.00007021261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1927945,0.03624843,0.01373864,0.002845713,0.007807042,0.002696051,0.05282719,0.002122646,0.6889198],"genre_scores_gemma":[0.7145574,0.02183434,0.02367634,0.003359062,0.001499797,0.001862718,0.06948432,0.0005005758,0.1632255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02513915,"threshold_uncertainty_score":0.08409882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382689155461344,"score_gpt":0.2335340467670529,"score_spread":0.1952651312209185,"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."}}