{"id":"W6950638951","doi":"10.5281/zenodo.6044513","title":"Arhyssus nigristernum Signoret 1859","year":2017,"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":"Insect; Shrub; Vegetation (pathology); Natural history; Clinical study","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":[0.0001726494,0.0003311293,0.0002212676,0.001283773,0.001485587,0.0003914626,0.0004389131,0.0003565199,0.01090677],"category_scores_gemma":[0.0003343723,0.0001639796,0.0001765158,0.0005132708,0.0006009372,0.0008007109,0.0008019338,0.0004629642,0.003471159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657995,"about_ca_system_score_gemma":0.0003121024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007018222,"about_ca_topic_score_gemma":0.02897492,"domain_scores_codex":[0.9998103,0.00002242522,0.00001439948,0.00006339133,0.00006792153,0.00002151471],"domain_scores_gemma":[0.9998549,0.00002232348,0.00005661838,0.00002521633,0.00002440613,0.00001644728],"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":[0.0002167984,0.0001583854,0.1051021,0.0007938774,0.0001043921,0.001695977,0.003755392,0.0005122599,0.029661,0.004786271,0.036349,0.8168644],"study_design_scores_gemma":[0.00002796346,0.000274531,0.6046201,0.0003644225,0.0000914588,0.005912125,0.001227275,0.0004574668,0.002317017,0.0009248551,0.3837501,0.00003268979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5023771,0.008483181,0.004458546,0.0005918189,0.0005275423,0.0003423333,0.00326835,0.0006786295,0.4792725],"genre_scores_gemma":[0.9482198,0.001819296,0.004280459,0.0003723219,0.0001717479,0.00006748926,0.002272538,0.00004454119,0.04275177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090677,"threshold_uncertainty_score":0.03648674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05881060532849735,"score_gpt":0.2475332827225437,"score_spread":0.1887226773940464,"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."}}