{"id":"W6931214917","doi":"10.5281/zenodo.5293576","title":"Liriomyza eupatorii","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spots; Wing; Apex (geometry); Falling (accident); Stalk","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":[0.00007677542,0.0003169994,0.0001842966,0.0004577944,0.0003236894,0.0002344345,0.0002378016,0.0002073516,0.01024103],"category_scores_gemma":[0.0001980346,0.000124358,0.0001024489,0.0002353045,0.0001124617,0.0005298781,0.0005291341,0.0001878594,0.003185647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266534,"about_ca_system_score_gemma":0.000135295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101948,"about_ca_topic_score_gemma":0.004328733,"domain_scores_codex":[0.9999374,0.000006953853,0.000007667599,0.00002571914,0.00001196761,0.00001041192],"domain_scores_gemma":[0.9999135,0.000007970296,0.00003224152,0.00001266867,0.00002470417,0.000009035767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005586853,0.00005436683,0.04466739,0.001377545,0.00009650276,0.001732222,0.001870046,0.0006256388,0.5971115,0.002810376,0.01177812,0.3373175],"study_design_scores_gemma":[0.0001127731,0.0005198119,0.4766553,0.000502868,0.0001534196,0.006080177,0.001198048,0.001120413,0.023537,0.0009227016,0.4891402,0.00005735389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755766,0.006891428,0.005320244,0.0006410502,0.0001094079,0.000145052,0.003293253,0.001078648,0.226755],"genre_scores_gemma":[0.9635047,0.001754483,0.003604545,0.0004972562,0.00003222267,0.00007954816,0.001885555,0.0000651747,0.02857647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024103,"threshold_uncertainty_score":0.03425968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09507109848409842,"score_gpt":0.2834878162459298,"score_spread":0.1884167177618314,"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."}}