{"id":"W6906403304","doi":"10.17605/osf.io/4ruw9","title":"MGPM with Time Pressure/Discounted Utility Replication","year":2020,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Viral replication; DNA replication; Key (lock)","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":[0.005978746,0.00111331,0.001018617,0.001374291,0.001379489,0.003564446,0.003412839,0.001717216,0.1163165],"category_scores_gemma":[0.03417732,0.0008144598,0.0009304491,0.001800778,0.001135146,0.003122551,0.006224603,0.002195182,0.05524982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219415,"about_ca_system_score_gemma":0.005642853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048646,"about_ca_topic_score_gemma":0.01463845,"domain_scores_codex":[0.9954174,0.001523903,0.0002331079,0.0007826651,0.001635254,0.0004077351],"domain_scores_gemma":[0.9859875,0.002674923,0.0004339962,0.008380656,0.001838717,0.0006842855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001086329,0.0002162904,0.002016809,0.0003531622,0.00008568929,0.0002346276,0.0004009478,0.01642621,0.004692078,0.1930282,0.3063387,0.4751211],"study_design_scores_gemma":[0.0003489816,0.00009965857,0.001014722,0.0001989302,0.00005305936,0.0002602448,0.0001608395,0.1493365,0.01160673,0.2306936,0.6061097,0.0001171495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01105713,0.001632683,0.7237648,0.0047879,0.002254836,0.0007675214,0.01007238,0.1032846,0.1423782],"genre_scores_gemma":[0.2579531,0.0007874833,0.5715871,0.001102524,0.0006053367,0.001203759,0.01186299,0.03035628,0.1245414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1163165,"threshold_uncertainty_score":0.3891174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010782924890722,"score_gpt":0.3022905755913474,"score_spread":0.2921827463424402,"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."}}