{"id":"W3107812150","doi":"10.5430/afr.v9n4p70","title":"Internal Information Environment and Labor Investment Efficiency","year":2020,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Quality (philosophy); Business; Relation (database); Labour economics; Labor relations; Information quality; Economics; Industrial organization; Information system; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359127,0.0001951178,0.0002897451,0.0008598579,0.0003154426,0.002121184,0.0002164349,0.0002822614,0.002709209],"category_scores_gemma":[0.009892093,0.0001478478,0.000187487,0.0007885653,0.0007385717,0.0007589755,0.0008766146,0.0003205671,0.0003659298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007557441,"about_ca_system_score_gemma":0.0004594086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034211,"about_ca_topic_score_gemma":0.00091658,"domain_scores_codex":[0.9989814,0.0002899563,0.0000922688,0.0001060071,0.0002844484,0.0002458266],"domain_scores_gemma":[0.983999,0.006522419,0.006256572,0.001247058,0.001262603,0.0007123993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003911016,0.000485699,0.9094665,0.00008058347,0.0001719896,0.0002059416,0.0009844912,0.01626193,0.004844875,0.01642971,0.0003662459,0.05031088],"study_design_scores_gemma":[0.00003339902,0.0003477175,0.9617501,0.00005483294,0.00007077493,0.0002248946,0.001040865,0.01595046,0.004432959,0.01381926,0.002243413,0.00003113003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878405,0.0001447263,0.002677725,0.0001345423,0.000002932859,0.0000117036,0.0000704625,0.00001338963,0.009103987],"genre_scores_gemma":[0.999131,0.0000377342,0.0002398885,0.000009751668,0.000003771979,0.000002433383,0.00004297233,0.000002631322,0.0005298349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002709209,"threshold_uncertainty_score":0.009063184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494013234118836,"score_gpt":0.2540661016712744,"score_spread":0.219125969330086,"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."}}