{"id":"W6925124334","doi":"10.17605/osf.io/4efk8","title":"Hypotheses","year":2015,"lang":"es","type":"other","venue":"Open Science Framework","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Relation (database); Identification (biology); Process (computing)","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001759652,0.000385051,0.0009088026,0.0005068626,0.0006019137,0.002206513,0.005505582,0.0003130027,0.01695919],"category_scores_gemma":[0.002639281,0.0004074185,0.00009524453,0.002049055,0.001113224,0.0006574296,0.002054648,0.0004645296,0.03402674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265022,"about_ca_system_score_gemma":0.0004716735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003091933,"about_ca_topic_score_gemma":0.00004450973,"domain_scores_codex":[0.9970905,0.0000209625,0.0006238027,0.001335454,0.0002259609,0.0007033687],"domain_scores_gemma":[0.9968876,0.0001032698,0.001061082,0.001467455,0.0001775007,0.0003030467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001473994,0.0001531049,0.03273653,0.00003476911,0.00006715852,0.000004990325,0.0009603622,0.00001116452,0.000001956856,0.548969,0.4099386,0.007107671],"study_design_scores_gemma":[0.0001496472,0.00005937692,0.01350234,0.0003281261,0.000005792213,0.000001554419,0.000372898,0.00003292495,0.000005213396,0.1067104,0.8783108,0.0005209224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004274968,0.00490839,0.0009362023,0.001273588,0.00332729,0.0006468598,0.000287829,0.00004296232,0.9881494],"genre_scores_gemma":[0.07073205,0.002094273,0.02113718,0.002016235,0.0009313139,0.0001217841,0.000009722371,0.0001972347,0.9027602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4683723,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059185420911528,"score_gpt":0.3211224166557752,"score_spread":0.2152038745646224,"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."}}