{"id":"W6930524741","doi":"10.5281/zenodo.14597206","title":"Megamymar Huber 2022","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Apex (geometry); Ovipositor; Dorsum; Group (periodic table)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122168,0.0003304626,0.0001929517,0.0009157254,0.0005928444,0.0002125742,0.0004314649,0.0003274338,0.009242059],"category_scores_gemma":[0.0002362329,0.0001980285,0.00009498507,0.0004205163,0.0002060167,0.0006824593,0.0005919439,0.0004013542,0.004520649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732125,"about_ca_system_score_gemma":0.0001085351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938462,"about_ca_topic_score_gemma":0.004641092,"domain_scores_codex":[0.9999382,0.000006012327,0.000003777619,0.00002380571,0.00001566187,0.00001247094],"domain_scores_gemma":[0.9999113,0.000008995442,0.00004686212,0.000009702785,0.00001347964,0.000009693352],"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":[0.0004430974,0.00007131023,0.0217329,0.0004899752,0.0000577706,0.003126391,0.001911491,0.0005855534,0.04303293,0.008764103,0.06079008,0.8589944],"study_design_scores_gemma":[0.00006741526,0.0006571779,0.2282534,0.0004324036,0.0001518885,0.01766501,0.001652371,0.0009739823,0.01263071,0.002729347,0.7347397,0.00004663951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712181,0.02045929,0.008222061,0.001863615,0.001071991,0.0004685084,0.003805364,0.001142013,0.291749],"genre_scores_gemma":[0.9225892,0.004919372,0.006204742,0.0007672574,0.0002200208,0.0001498208,0.001470107,0.00005208255,0.06362738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009242059,"threshold_uncertainty_score":0.03091776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147508908076149,"score_gpt":0.2634280559225585,"score_spread":0.241952966841797,"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."}}