{"id":"W3125805760","doi":"10.1111/j.1911-3846.2011.01117.x","title":"R&D Intensity and the Value of Analysts’ Recommendations*","year":2011,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Library science; Citation; Accounting; Political science; Management; Economics; Mathematics; Computer science; Statistics","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":[0.02672437,0.0003691444,0.0005168528,0.003460334,0.00202965,0.01395309,0.0012438,0.00314346,0.01228029],"category_scores_gemma":[0.1614021,0.0003900032,0.0003675557,0.004846343,0.00391697,0.006370615,0.002865961,0.004398806,0.002425062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006108727,"about_ca_system_score_gemma":0.004926929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005248905,"about_ca_topic_score_gemma":0.004632725,"domain_scores_codex":[0.9727237,0.01311022,0.001299647,0.001759515,0.009761686,0.001345163],"domain_scores_gemma":[0.7554699,0.1631429,0.03590289,0.009632584,0.02843657,0.007415201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007809021,0.0002656609,0.1126885,0.0005951406,0.0004501663,0.0005148159,0.00635289,0.007155246,0.001572175,0.2560574,0.1472031,0.4663641],"study_design_scores_gemma":[0.0003347877,0.000441889,0.2509396,0.001923532,0.0003695619,0.0005743835,0.01593173,0.01405282,0.003419085,0.3815749,0.3300038,0.0004338888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.237356,0.03691367,0.007772734,0.2792796,0.001326832,0.0001439224,0.001034681,0.000186823,0.4359857],"genre_scores_gemma":[0.9785341,0.005791814,0.001696921,0.004128936,0.001153001,0.00004569348,0.0001439207,0.00005648487,0.008449129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02672437,"threshold_uncertainty_score":0.1413336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09271994358452233,"score_gpt":0.3073694784067606,"score_spread":0.2146495348222383,"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."}}