{"id":"W6931119086","doi":"10.5281/zenodo.15748796","title":"Spiophanes japonicum Imajima 1991","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bass (fish); Single specimen; Type specimen; Taxonomy (biology)","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":[0.00009123385,0.0005251509,0.0002532604,0.0008606813,0.001548541,0.0003496389,0.0003275831,0.0002250629,0.01054212],"category_scores_gemma":[0.0001820695,0.0001917717,0.0001338007,0.001131961,0.0003793057,0.0008245026,0.0008732063,0.0006756886,0.002290652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225913,"about_ca_system_score_gemma":0.0004045048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005205569,"about_ca_topic_score_gemma":0.01209922,"domain_scores_codex":[0.9999161,0.000005499343,0.000009428787,0.000022099,0.0000263318,0.00002055551],"domain_scores_gemma":[0.9999399,0.000004308407,0.00002175221,0.000005370399,0.00001502043,0.00001365968],"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":[0.0006701782,0.0003740491,0.04588622,0.001969448,0.00009446012,0.007332538,0.005656535,0.0008880235,0.09178165,0.01174302,0.0291947,0.8044091],"study_design_scores_gemma":[0.00009981696,0.0003600702,0.4558823,0.000447924,0.0001719593,0.009516901,0.003340877,0.0008138743,0.007634676,0.002737298,0.5189501,0.00004425323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5614864,0.00654645,0.002904842,0.0005200357,0.0002490873,0.0002525894,0.001867991,0.0003322132,0.4258405],"genre_scores_gemma":[0.9537229,0.003350223,0.004095398,0.0002799791,0.0001029305,0.00009482521,0.002602234,0.0000548131,0.03569673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01054212,"threshold_uncertainty_score":0.03526694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701591903942663,"score_gpt":0.2373469656746031,"score_spread":0.2103310466351765,"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."}}