{"id":"W2514882229","doi":"10.2139/ssrn.2814011","title":"Firm R&amp;D and Financial Analysis: How Do They Interact?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Economics; Financial system","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":[0.005720344,0.001124418,0.001862517,0.00408827,0.001352969,0.01093809,0.001354013,0.005072665,0.02245546],"category_scores_gemma":[0.03421945,0.001306118,0.00168784,0.004905529,0.003199757,0.008122642,0.003657439,0.002472003,0.003773491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484481,"about_ca_system_score_gemma":0.001646009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009822507,"about_ca_topic_score_gemma":0.01390305,"domain_scores_codex":[0.991183,0.005841444,0.000227633,0.0009816315,0.0008617124,0.0009045145],"domain_scores_gemma":[0.9022606,0.07765998,0.008801023,0.00194284,0.003964037,0.005371526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000817525,0.001556054,0.855283,0.0004563294,0.003443376,0.0008276359,0.001905941,0.003121936,0.000995187,0.03184638,0.01039878,0.08934789],"study_design_scores_gemma":[0.0001476555,0.0003770931,0.9085376,0.0006723793,0.002021975,0.0004578331,0.005519975,0.006612418,0.000296663,0.06079222,0.01435271,0.0002114549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7589031,0.05769849,0.01181218,0.08299697,0.0008804746,0.0001380176,0.003025883,0.0003944703,0.08415034],"genre_scores_gemma":[0.9831979,0.005919184,0.001568556,0.002773452,0.0005483705,0.00004352266,0.000301311,0.0001079366,0.005539731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02245546,"threshold_uncertainty_score":0.07512099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375039205568306,"score_gpt":0.2026563895635288,"score_spread":0.1889059975078457,"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."}}