{"id":"W6968950103","doi":"10.5281/zenodo.5162564","title":"Picromerus bidens","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subpoena; Yield (engineering); Maxim","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":[0.0001054979,0.0004375598,0.0002373174,0.001362134,0.001399737,0.0004724654,0.0004268572,0.0002585087,0.004959602],"category_scores_gemma":[0.0003605591,0.000227068,0.0001475513,0.0004582153,0.0005290529,0.0007801983,0.001137871,0.0003364644,0.001499427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006067377,"about_ca_system_score_gemma":0.0002409142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206582,"about_ca_topic_score_gemma":0.0335196,"domain_scores_codex":[0.9998472,0.00001078402,0.00001116356,0.00007078404,0.00004613272,0.00001392844],"domain_scores_gemma":[0.9998919,0.0000168423,0.00003402379,0.00001189554,0.00002660009,0.00001886299],"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":[0.0009720619,0.0001784129,0.1780647,0.002287539,0.0001826439,0.004162414,0.005510886,0.002471119,0.1269411,0.01846752,0.03209143,0.6286702],"study_design_scores_gemma":[0.00004921889,0.0002916695,0.7578592,0.0004862894,0.0001127356,0.005736899,0.001572337,0.001163675,0.004582493,0.00203278,0.2260689,0.00004381252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124196,0.008848899,0.004801422,0.000448171,0.0003347577,0.000178769,0.00176404,0.0004297808,0.2707745],"genre_scores_gemma":[0.9798499,0.001239137,0.002629924,0.0005008472,0.00008217113,0.00006056469,0.001269143,0.00003719154,0.01433116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206582,"threshold_uncertainty_score":0.02399117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829312342109005,"score_gpt":0.2101559841331769,"score_spread":0.1818628607120868,"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."}}