{"id":"W6893819242","doi":"10.5281/zenodo.5325125","title":"Rhagoletis pomonella Walsh 1867","year":2016,"lang":"en","type":"article","venue":"Open MIND","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhagoletis; Identification (biology); Species identification; Type (biology); Entomology","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":[],"category_scores_codex":[0.0003925475,0.0001109792,0.000157642,0.00003376822,0.00009013038,0.0004772173,0.002151032,0.00004929326,0.0004369398],"category_scores_gemma":[0.00002670045,0.00007303715,0.00004427615,0.0001817434,0.00002617637,0.0003488078,0.0006893508,0.00004308275,0.005208287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002510842,"about_ca_system_score_gemma":0.00006686302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004039297,"about_ca_topic_score_gemma":0.000007867297,"domain_scores_codex":[0.9988584,0.00007512586,0.0002031354,0.0004121481,0.0001773731,0.0002738093],"domain_scores_gemma":[0.9990301,0.00009062191,0.00008421036,0.0006385772,0.0000485409,0.0001079938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006449781,0.00006452603,0.001087469,0.000003186867,0.00002477465,0.00007063084,0.0004859556,0.00002533417,0.002687231,0.004086172,0.02382126,0.967637],"study_design_scores_gemma":[0.000730348,0.00008579803,0.001320532,0.0001328287,0.000003968973,0.00006991986,0.00001480299,0.001698865,0.003657771,0.0008497542,0.9911065,0.0003289868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09734768,0.0001126685,0.6753906,0.004142151,0.001158044,0.0004005275,0.00003034649,0.00002575951,0.2213922],"genre_scores_gemma":[0.966638,0.000002729193,0.01760511,0.00007023574,0.0000942811,0.00000493953,0.000002499562,0.000005855818,0.01557635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.967308,"threshold_uncertainty_score":0.9955662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03998476734271814,"score_gpt":0.2882765021116791,"score_spread":0.248291734768961,"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."}}