{"id":"W6931112880","doi":"10.5281/zenodo.6022482","title":"Parathalassius candidatus Melander","year":2017,"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":"Bay; Estuary; Alligator; Candidatus","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":[0.00006914919,0.0004468111,0.0001300857,0.0008140117,0.0007775315,0.000200989,0.0002821973,0.0002428607,0.008699303],"category_scores_gemma":[0.0001478794,0.0001100415,0.00009698048,0.0003998608,0.000410901,0.0004219492,0.0006781679,0.0003316316,0.002315343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840031,"about_ca_system_score_gemma":0.0002085452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218589,"about_ca_topic_score_gemma":0.02021144,"domain_scores_codex":[0.9999264,0.000005203119,0.000005774606,0.0000253673,0.00002569618,0.00001155176],"domain_scores_gemma":[0.999939,0.000008188154,0.00002227406,0.000004794052,0.00001560688,0.00001016373],"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":[0.00109314,0.0001591545,0.07483126,0.001313898,0.00007253213,0.009037348,0.004212323,0.0015895,0.2294057,0.009129769,0.03949107,0.6296644],"study_design_scores_gemma":[0.0001158744,0.0006994489,0.7032431,0.001020553,0.000141349,0.02098399,0.004111536,0.0008561829,0.02249822,0.002446033,0.2438046,0.00007918016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7474977,0.00515796,0.001678192,0.0004490369,0.0002728338,0.0002237945,0.002604365,0.0002523016,0.2418638],"genre_scores_gemma":[0.974922,0.001374913,0.001340343,0.0001525397,0.00004989129,0.00005742365,0.000799089,0.0000150204,0.02128876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01218589,"threshold_uncertainty_score":0.02910203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03710521341136085,"score_gpt":0.2781986976815412,"score_spread":0.2410934842701803,"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."}}