{"id":"W6936387324","doi":"10.57760/sciencedb.14613","title":"OHLCV","year":2023,"lang":"en","type":"dataset","venue":"ScienceDB","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Product (mathematics); Work (physics); Identification (biology); Term (time)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000772023,0.003253465,0.001941963,0.005617538,0.001027006,0.002974904,0.004042445,0.003103623,0.07860281],"category_scores_gemma":[0.004830359,0.0007026627,0.001645188,0.008124955,0.0005223647,0.002185459,0.002575669,0.001879082,0.1243911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893217,"about_ca_system_score_gemma":0.003179562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03889629,"about_ca_topic_score_gemma":0.06561591,"domain_scores_codex":[0.9989169,0.0001155327,0.0001263733,0.0003269364,0.0002532013,0.0002611434],"domain_scores_gemma":[0.9983252,0.0002940627,0.0001902093,0.0004329505,0.0005354747,0.0002222536],"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":[0.00005554721,0.00002335149,0.0007989143,0.0006516054,0.00002516864,0.0000227185,0.00001726387,0.0002326495,0.0001137387,0.0004672495,0.9956917,0.001900206],"study_design_scores_gemma":[0.0002826028,0.00003112985,0.003978847,0.0003745224,0.00004676795,0.00008213676,0.0001173894,0.000875095,0.0004726838,0.001759716,0.9919367,0.00004243793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001357014,0.00007112038,0.00003519999,0.00004990785,0.00002402075,0.000007450761,0.9988109,0.0002763059,0.000589361],"genre_scores_gemma":[0.0002743567,0.00004533182,0.0001125254,0.00002865061,0.000008361037,0.00002665073,0.9990676,0.00003036917,0.0004061852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9213972,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020193928841914,"score_gpt":0.3558264749986794,"score_spread":0.3056245357102602,"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."}}