{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006914779,0.0005327945,0.0005810814,0.001045431,0.0009221521,0.004165544,0.001451054,0.004211273,0.2659647],"category_scores_gemma":[0.03815884,0.0002328473,0.0006201788,0.0009438921,0.002298505,0.003210502,0.00123572,0.002094772,0.03245211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009889681,"about_ca_system_score_gemma":0.00200347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00089135,"about_ca_topic_score_gemma":0.0008842626,"domain_scores_codex":[0.9974836,0.0008161631,0.0001713655,0.0005331183,0.0006413272,0.0003545378],"domain_scores_gemma":[0.9660935,0.02338149,0.004253019,0.002510186,0.002320115,0.001441659],"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":[0.001023843,0.000657268,0.01378603,0.0008438205,0.000088768,0.0002259678,0.001383448,0.0005067589,0.0002801406,0.8118775,0.1278664,0.04146],"study_design_scores_gemma":[0.001366178,0.0003600226,0.02678753,0.001128498,0.0001507631,0.0007558831,0.005083306,0.002281174,0.0006809942,0.6972789,0.2640612,0.00006548854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1007669,0.002857375,0.01862474,0.1397943,0.005539313,0.001797681,0.02259128,0.0003397782,0.7076886],"genre_scores_gemma":[0.828839,0.001722169,0.006804714,0.02460172,0.003417184,0.00301147,0.008881867,0.0001340589,0.1225879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7340353,"threshold_uncertainty_score":0,"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."}}