{"id":"W6931367009","doi":"10.5281/zenodo.5997823","title":"Liriomyza smilacinae Spencer","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frass; Voltinism; Larva; PEST analysis; Larrea","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002077573,0.0001045537,0.00009067257,0.0001638434,0.0007886592,0.0003213367,0.0006735251,0.00007184783,0.01559496],"category_scores_gemma":[0.0001866436,0.0001094098,0.00003071246,0.0003971928,0.0002018693,0.0001496108,0.0004150683,0.0001895993,0.0225421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007365904,"about_ca_system_score_gemma":8.513102e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003646392,"about_ca_topic_score_gemma":3.66864e-7,"domain_scores_codex":[0.9991824,0.00004298824,0.0001312627,0.0001996734,0.0001581512,0.0002855496],"domain_scores_gemma":[0.999359,0.000007586641,0.00001827729,0.0003753183,0.000158369,0.00008144868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002107314,0.00005012278,0.00002462027,0.00006263731,0.00005548555,0.00001787421,0.001442206,0.00009159939,0.03873784,0.005927422,0.6250884,0.3284807],"study_design_scores_gemma":[0.0001671491,0.0001063578,0.0006478885,0.00001099218,0.00000407964,0.00003616233,0.0002280796,0.001941114,0.01189883,0.000221441,0.9845992,0.000138717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2526953,0.0002170583,0.006656348,0.0004453711,0.0003404439,0.0003036418,0.00004281102,0.008172085,0.731127],"genre_scores_gemma":[0.9977215,0.0001137559,0.0003060343,0.00006836453,0.0001502861,1.623644e-8,0.00009100004,0.0008570353,0.0006919876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7450263,"threshold_uncertainty_score":0.985305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022927341854254,"score_gpt":0.2270562437256174,"score_spread":0.1968269703070749,"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."}}