{"id":"W6967445097","doi":"10.5281/zenodo.10166191","title":"Heliococcus osborni","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Taxonomy (biology); Type (biology); Natural (archaeology)","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":[0.00007932262,0.0004861263,0.0001706691,0.001259421,0.0006472305,0.0004983684,0.0002803743,0.0003651529,0.01137236],"category_scores_gemma":[0.0001538574,0.000144349,0.0001099401,0.0005586929,0.0003751257,0.001166647,0.0007018633,0.000369198,0.004153342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005568269,"about_ca_system_score_gemma":0.0002075844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005362902,"about_ca_topic_score_gemma":0.007139999,"domain_scores_codex":[0.9999008,0.000004985623,0.000006500582,0.00003967416,0.00002648841,0.00002147627],"domain_scores_gemma":[0.9999516,0.00001020181,0.00001687391,0.000005247886,0.000008361096,0.000007691158],"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":[0.0007963526,0.0002046454,0.04713459,0.0006925524,0.00005648897,0.003872311,0.002827997,0.0007785296,0.1241329,0.007019836,0.02316821,0.7893156],"study_design_scores_gemma":[0.00008267436,0.0005114567,0.3452525,0.0005039452,0.0001402629,0.007021965,0.002865728,0.0007940324,0.02745752,0.002515954,0.6127863,0.00006770284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6053175,0.01813444,0.004651532,0.0006344382,0.001150667,0.0002655025,0.003463679,0.0005628488,0.3658195],"genre_scores_gemma":[0.8793229,0.007105672,0.002452225,0.0003434745,0.0002173441,0.00006602161,0.003323261,0.0000325864,0.1071366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137236,"threshold_uncertainty_score":0.03804433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538109846335795,"score_gpt":0.2283969153455079,"score_spread":0.1830158168821499,"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."}}