{"id":"W6931689471","doi":"10.5281/zenodo.6839382","title":"Hygroplasta lygaea Pachnistis","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Work (physics); Product (mathematics)","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":[0.00006170607,0.0004760031,0.0002387872,0.001215277,0.001066057,0.0003077357,0.0004197375,0.0005225437,0.01181806],"category_scores_gemma":[0.0001831906,0.0001844007,0.0001293094,0.000701531,0.0005751618,0.0008863757,0.000709618,0.0004486341,0.004943527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788554,"about_ca_system_score_gemma":0.0003067281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006278914,"about_ca_topic_score_gemma":0.0104861,"domain_scores_codex":[0.9999114,0.00001133843,0.000007579894,0.00002785204,0.00002362649,0.00001819739],"domain_scores_gemma":[0.9999231,0.00001678843,0.00002247557,0.000007500094,0.00002089452,0.000009226127],"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":[0.0007445103,0.0001765553,0.02134403,0.001324166,0.00004547865,0.01010149,0.00366941,0.001088012,0.2538379,0.005586059,0.01605647,0.6860259],"study_design_scores_gemma":[0.0001426423,0.0006077999,0.48487,0.0005253913,0.00009938215,0.02039758,0.004138411,0.0006424049,0.01456313,0.001664742,0.4722922,0.00005626504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6012292,0.01097891,0.005028492,0.001398614,0.0004923899,0.0005422685,0.004734172,0.0007017134,0.3748943],"genre_scores_gemma":[0.9578397,0.002477685,0.002383319,0.0006936522,0.0001112479,0.0001656922,0.00218626,0.00003458435,0.03410789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01181806,"threshold_uncertainty_score":0.03953534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667847560349288,"score_gpt":0.2258103624461378,"score_spread":0.2091318868426449,"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."}}