{"id":"W6950014553","doi":"10.5281/zenodo.5620956","title":"Naemia seriata subsp. seriata Melsheimer","year":2006,"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":"Nova scotia; Cape; Genus; Marsh; Range (aeronautics)","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":[0.0001558041,0.0003701155,0.0001541992,0.001227545,0.0009429273,0.000345637,0.0003249736,0.0001237718,0.01422787],"category_scores_gemma":[0.0002272337,0.0001489728,0.0001216545,0.0004784888,0.0002803716,0.0002619807,0.0005335748,0.0001574768,0.003925543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008350477,"about_ca_system_score_gemma":0.000787398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1489188,"about_ca_topic_score_gemma":0.4841463,"domain_scores_codex":[0.9999163,0.000005705514,0.000006081464,0.00002751732,0.00002421131,0.00002014387],"domain_scores_gemma":[0.9997655,0.00001664573,0.00007894642,0.00002561485,0.00008250216,0.00003095218],"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":[0.0008381507,0.0002067251,0.4046984,0.0007872349,0.00006940781,0.002315632,0.004265479,0.0006085447,0.04701597,0.002414639,0.07175896,0.465021],"study_design_scores_gemma":[0.00002832185,0.000121447,0.7516998,0.0002561774,0.00004402139,0.001200049,0.001569542,0.0001769263,0.001440107,0.0001712165,0.2432788,0.0000136736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.505061,0.005001171,0.00119866,0.0003196274,0.0004018707,0.0004983859,0.00812178,0.0003106631,0.4790869],"genre_scores_gemma":[0.9132957,0.002187925,0.001641215,0.0002309817,0.00006212023,0.0001252616,0.004803091,0.00003661603,0.07761707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1489188,"threshold_uncertainty_score":0.2961041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324280572148007,"score_gpt":0.2148429503387704,"score_spread":0.1824148931239697,"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."}}