{"id":"W4313459419","doi":"10.2139/ssrn.4316229","title":"Understanding Sentiment Through Context","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Psychology; Political science; History","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":[],"consensus_categories":[],"category_scores_codex":[0.0006093058,0.0002990461,0.0002173433,0.0008136321,0.0008355599,0.004543032,0.0002154318,0.000663951,0.008060871],"category_scores_gemma":[0.005462867,0.0002517385,0.0001947023,0.0007711213,0.001155467,0.005086543,0.001260917,0.001158246,0.001090694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008181737,"about_ca_system_score_gemma":0.0004235073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00345,"about_ca_topic_score_gemma":0.004017783,"domain_scores_codex":[0.999526,0.0002007443,0.00001949368,0.0001058262,0.00008523664,0.00006273847],"domain_scores_gemma":[0.9987065,0.0005468972,0.0002471829,0.00009976705,0.0002682666,0.00013151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000519262,0.0001558568,0.1853089,0.0004797034,0.0002122749,0.001077521,0.02979336,0.002551214,0.01136742,0.5180076,0.02919463,0.2213323],"study_design_scores_gemma":[0.00005120406,0.0002022809,0.1988561,0.0005548952,0.000289434,0.0005499481,0.02780795,0.01894341,0.003369537,0.5620976,0.1871567,0.0001209049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5549852,0.003345928,0.03567956,0.01411378,0.0008592475,0.00007663025,0.001381596,0.0002554452,0.3893025],"genre_scores_gemma":[0.992997,0.000458848,0.001971845,0.0004151257,0.0001159528,0.00001684115,0.0002045965,0.00004395501,0.003775773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008060871,"threshold_uncertainty_score":0.02696633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607500407681251,"score_gpt":0.223152235906491,"score_spread":0.1970772318296785,"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."}}