{"id":"W2766309470","doi":"10.2139/ssrn.3056433","title":"Technology and Return Predictability","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; McMaster University","funders":"","keywords":"Predictability; Business; Economics; Econometrics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579546,0.00007833361,0.0001453401,0.00007435754,0.0004003637,0.00004425513,0.000139142,0.00006350443,0.00003170844],"category_scores_gemma":[0.0001144804,0.00005915525,0.00004957886,0.0000347283,0.0001379875,0.0001209716,0.00008036065,0.001431236,0.000003956005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815233,"about_ca_system_score_gemma":0.0005245315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005632591,"about_ca_topic_score_gemma":0.0002018035,"domain_scores_codex":[0.9987517,0.00001429807,0.0001267258,0.0001267099,0.000115479,0.0008651068],"domain_scores_gemma":[0.9994364,0.000008773346,0.00009411279,0.0003389147,0.00004019911,0.00008153239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003455317,0.000125673,0.8367479,0.00002015542,0.0002164892,0.00008111919,0.00005193958,5.637332e-8,0.002820268,0.04966389,0.0004364658,0.1094905],"study_design_scores_gemma":[0.007400575,0.004590823,0.2783051,0.0001458702,0.0004516414,0.03931085,0.001935611,0.0001250604,0.001474267,0.6335412,0.03231728,0.0004017862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701502,0.003422196,0.0001947028,0.02472473,0.0001322966,0.00008992104,0.00000115225,0.00002481049,0.00125996],"genre_scores_gemma":[0.9965757,0.002013779,0.00007316173,0.0002313747,0.0002261416,0.000002285491,9.654218e-7,0.00000872395,0.0008678585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5838773,"threshold_uncertainty_score":0.6218086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007876040918666609,"score_gpt":0.2672354152775819,"score_spread":0.2593593743589153,"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."}}