{"id":"W6931739587","doi":"10.5281/zenodo.7405477","title":"Lerneca inalata subsp. beripocone Lima 2016","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Work (physics); Population; Quarter (Canadian coin)","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":[0.000169,0.0003550984,0.000496727,0.0007941195,0.001066196,0.0006533717,0.0004829968,0.0003741949,0.00888453],"category_scores_gemma":[0.000220298,0.0001699085,0.0002824183,0.0006526131,0.0003166092,0.0006226989,0.0005117074,0.0005854637,0.004722946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009815674,"about_ca_system_score_gemma":0.0003969795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133176,"about_ca_topic_score_gemma":0.02888894,"domain_scores_codex":[0.9998311,0.00001124463,0.00001188359,0.00008242617,0.00003028971,0.00003305445],"domain_scores_gemma":[0.9998653,0.00002557899,0.00002537763,0.00001764323,0.00003638778,0.00002975931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001363507,0.0002550862,0.07084549,0.001470265,0.00009970257,0.003412482,0.003219217,0.0006685755,0.4928783,0.00237979,0.01135967,0.412048],"study_design_scores_gemma":[0.00003943939,0.0003381307,0.6679348,0.000208746,0.0001328771,0.004382111,0.00206914,0.0003636591,0.01759408,0.0004165028,0.3064786,0.00004194383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6586314,0.00775551,0.004877918,0.0005819989,0.0002564072,0.0003274324,0.01089618,0.0007879872,0.3158851],"genre_scores_gemma":[0.9197295,0.001449226,0.004304412,0.000498875,0.00004097076,0.0001978314,0.013844,0.00009380661,0.05984131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133176,"threshold_uncertainty_score":0.02972168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266775203100916,"score_gpt":0.2413588996888754,"score_spread":0.2146813793787838,"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."}}