{"id":"W7095576210","doi":"","title":"Preprint typeset using LATEX style emulateapj v. 05/12/14 GEMINI NOW AND BEYOND 2014","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observatory; Preprint; Style (visual arts); 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002400189,0.001577225,0.002322807,0.003921102,0.001168314,0.006851061,0.002525039,0.002170854,0.5755122],"category_scores_gemma":[0.01228075,0.0005198053,0.001797874,0.006602329,0.001014926,0.002901244,0.002568945,0.00194521,0.2566921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005844865,"about_ca_system_score_gemma":0.005246852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06859168,"about_ca_topic_score_gemma":0.07077478,"domain_scores_codex":[0.9983387,0.0002160514,0.00008763479,0.0001621833,0.0009843067,0.0002110624],"domain_scores_gemma":[0.9963147,0.0005384998,0.0002263782,0.0006968645,0.001936072,0.0002875268],"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":[0.00007544658,0.00003355669,0.001299852,0.0005817256,0.0001022409,0.0001968593,0.000115149,0.001656749,0.000333071,0.01886123,0.9454337,0.03131038],"study_design_scores_gemma":[0.0001278026,0.00003051575,0.003932055,0.0004390615,0.00007017173,0.0002642701,0.0002040238,0.004864359,0.00137914,0.02906953,0.9595567,0.00006231579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006602258,0.008459361,0.04786186,0.02733409,0.01459773,0.0005823717,0.3124619,0.02974537,0.5523551],"genre_scores_gemma":[0.0971103,0.01561125,0.06208023,0.003525017,0.004929656,0.0005463938,0.1990396,0.0355029,0.5816546],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4244878,"threshold_uncertainty_score":0.6054803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459834718843046,"score_gpt":0.2132179513684295,"score_spread":0.178619604179999,"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."}}