{"id":"W6931413081","doi":"10.5281/zenodo.6188018","title":"Prionospio steenstrupi Malmgren 1867","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxonomy (biology); Dorsum; Table (database); Key (lock); Type species","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":[0.0001465426,0.0007358186,0.0003332912,0.001151089,0.00128694,0.000555146,0.0005936917,0.0005409853,0.006021743],"category_scores_gemma":[0.0004240974,0.0002628275,0.0001293466,0.0007224552,0.0006809806,0.001180476,0.0007954195,0.000497612,0.00285776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573802,"about_ca_system_score_gemma":0.0003711396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009561747,"about_ca_topic_score_gemma":0.01897458,"domain_scores_codex":[0.999799,0.00002420538,0.00002355538,0.00004939253,0.00007817624,0.0000256336],"domain_scores_gemma":[0.9998825,0.00001591298,0.00004631924,0.000009924488,0.00003079077,0.00001457752],"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":[0.0004120873,0.000130404,0.04322571,0.002008731,0.0001159145,0.008388385,0.005429068,0.001791872,0.02601448,0.00963595,0.05609795,0.8467495],"study_design_scores_gemma":[0.00006703575,0.0004623755,0.2146365,0.001194112,0.000158774,0.02336688,0.002433188,0.000893694,0.004440151,0.00351428,0.7487792,0.00005377937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4828317,0.08479287,0.01128232,0.001486571,0.002243481,0.0006349944,0.003094047,0.0008612355,0.4127729],"genre_scores_gemma":[0.9529939,0.01848966,0.004152946,0.0006367057,0.0004319008,0.0001138805,0.001550524,0.00003196592,0.02159847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009561747,"threshold_uncertainty_score":0.0201447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2096071632689814,"score_gpt":0.3386867151148478,"score_spread":0.1290795518458664,"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."}}