{"id":"W2560071735","doi":"10.3386/w24142","title":"Misvaluation and Corporate Inventiveness","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":[0.004645238,0.0003974288,0.0004406964,0.002184227,0.0002437678,0.002414427,0.0006000126,0.0009183235,0.002478235],"category_scores_gemma":[0.03846957,0.0001709733,0.0007180089,0.001617369,0.0007334379,0.002088722,0.001175894,0.001203484,0.0003704517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000990944,"about_ca_system_score_gemma":0.0003177353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871221,"about_ca_topic_score_gemma":0.001431857,"domain_scores_codex":[0.9982648,0.0003029071,0.0003018854,0.0002174851,0.0006682843,0.0002445283],"domain_scores_gemma":[0.8872912,0.04165717,0.05805566,0.004760929,0.004960623,0.003274319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001478542,0.000153949,0.986381,0.00003127997,0.0002012424,0.0001688568,0.0001399851,0.00195356,0.0008256746,0.001031484,0.0001877321,0.008777429],"study_design_scores_gemma":[0.00001118106,0.0002472192,0.9905216,0.00001749525,0.00006498507,0.0002653221,0.0001290801,0.004848977,0.0009601318,0.002285811,0.0006274513,0.00002086213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960743,0.0004687102,0.0005132862,0.0001494107,0.000007292477,0.00001667381,0.000359402,0.000008576168,0.002402514],"genre_scores_gemma":[0.9988853,0.0001239848,0.0001631647,0.00002261134,0.00002292531,0.000008187783,0.0003349654,0.00000264501,0.0004361241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004645238,"threshold_uncertainty_score":0.02456671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.572683670775069,"score_gpt":0.488449673648831,"score_spread":0.08423399712623797,"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."}}