{"id":"W7006086538","doi":"","title":"Statement No. 5 Sub Voucher No. 6 3rd quarter 1859","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statement (logic); Quarter (Canadian coin); Government (linguistics); Voucher","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002746623,0.0006373659,0.0007245647,0.001387635,0.00308522,0.003528941,0.001645997,0.003936088,0.3370956],"category_scores_gemma":[0.007130652,0.0004844684,0.000478523,0.0007561013,0.000664994,0.00154284,0.002146106,0.003050741,0.3192348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584156,"about_ca_system_score_gemma":0.0037846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033829,"about_ca_topic_score_gemma":0.01253178,"domain_scores_codex":[0.9972671,0.000173219,0.0001246114,0.0004385431,0.001599499,0.0003970806],"domain_scores_gemma":[0.9961582,0.0003471223,0.0001644741,0.000406861,0.002353195,0.000570177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001133528,0.00004164687,0.000312722,0.00008144914,0.000004099668,0.00006478585,0.00008057596,0.00004153656,0.0009780135,0.0156919,0.9589499,0.02363991],"study_design_scores_gemma":[0.00000873619,0.00002624473,0.0005317214,0.00004301108,0.000002914354,0.00005708339,0.00003973776,0.00005166131,0.0004899143,0.001068941,0.9976726,0.000007459665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003442075,0.001703237,0.003026188,0.01532515,0.01876097,0.0005497106,0.009641087,0.002078581,0.945473],"genre_scores_gemma":[0.003111752,0.0002003133,0.0003287531,0.001485671,0.0005836756,0.00009073065,0.001245219,0.0002447386,0.9927092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6629044,"threshold_uncertainty_score":0.9455526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004095118777343755,"score_gpt":0.1955173735742398,"score_spread":0.1914222547968961,"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."}}