{"id":"W1577647869","doi":"10.3386/w21103","title":"Assets with \"Warts\": How Reliable is the Market for Technology?","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Commerce; Industrial organization; 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":[0.005267751,0.0003452784,0.001006356,0.003089663,0.001440948,0.007182785,0.001436318,0.002365965,0.008872843],"category_scores_gemma":[0.08187951,0.0003032797,0.0005935648,0.003316842,0.004098543,0.01093227,0.002280894,0.002908587,0.001284216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530236,"about_ca_system_score_gemma":0.001075081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00580873,"about_ca_topic_score_gemma":0.005622576,"domain_scores_codex":[0.9959823,0.001190652,0.0002844167,0.0008245206,0.001237803,0.0004804183],"domain_scores_gemma":[0.8948152,0.05415114,0.04026169,0.00579106,0.002995658,0.001985261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001010676,0.0004311271,0.6721092,0.000614882,0.0005212395,0.001417687,0.002032836,0.01550764,0.001730989,0.1479853,0.0360194,0.120619],"study_design_scores_gemma":[0.000429402,0.0005661354,0.4621539,0.0005963614,0.0005982166,0.002029826,0.006168921,0.04700359,0.007294403,0.3979223,0.07496253,0.0002744661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108939,0.004725474,0.01083476,0.01623979,0.0001176684,0.0001373703,0.007058083,0.0001382153,0.04985464],"genre_scores_gemma":[0.9953436,0.0007473873,0.0007935154,0.0004502053,0.0001695313,0.00002467153,0.001298103,0.00002680944,0.001146115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008872843,"threshold_uncertainty_score":0.02968258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5846992204263183,"score_gpt":0.4417580454116843,"score_spread":0.142941175014634,"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."}}