{"id":"W2771576017","doi":"","title":"Dr. Brad Bass Q&A","year":2017,"lang":"en","type":"article","venue":"Journal of Student Science and Technology","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bass (fish); Fishery; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501361,0.00006467,0.0002653871,0.000548641,0.000700259,0.0002737445,0.001037094,0.00004415795,0.0001726213],"category_scores_gemma":[0.0003134577,0.00005853026,0.0000346794,0.0001734301,0.001447772,0.0006263836,0.0004327981,0.0001152292,0.0003405868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006039133,"about_ca_system_score_gemma":0.00003724709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008808513,"about_ca_topic_score_gemma":0.000002514268,"domain_scores_codex":[0.9991511,0.000001192809,0.0003537973,0.0002114055,0.00007224514,0.0002102632],"domain_scores_gemma":[0.9987904,0.000009105605,0.0007099314,0.0002956846,0.0001359323,0.00005895677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004504509,0.00007619758,0.6334519,0.000004416881,0.00005150666,0.00002259875,0.0003673086,0.0000011477,0.0002061487,0.3413278,0.01948253,0.005003914],"study_design_scores_gemma":[0.001343767,0.0002977676,0.5302335,0.00003342848,0.00001533039,0.0001065858,0.003083523,0.00009950712,0.0005317694,0.06340551,0.400553,0.0002963215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803606,0.001179645,0.00005768666,0.008293202,0.002640554,0.00005730399,0.000009579972,0.00001100134,0.1073904],"genre_scores_gemma":[0.9926062,0.0004706784,0.000233653,0.00007491985,0.00005114668,9.417367e-7,1.902145e-8,0.000002609084,0.006559855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3810705,"threshold_uncertainty_score":0.5385897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04665092775937156,"score_gpt":0.2748404529439145,"score_spread":0.2281895251845429,"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."}}