{"id":"W131782656","doi":"","title":"Investissement en actifs incorporels au Canada: depenses de R-D, d'innovation, d'image de marque et de prospection miniere, petroliere et gaziere","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Prospection; Art; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002106377,0.000597057,0.0004526152,0.004457021,0.002104056,0.004416307,0.0007414557,0.0007277164,0.007627748],"category_scores_gemma":[0.008299428,0.0003479805,0.0007470552,0.005148413,0.001357722,0.001108284,0.001501302,0.001245214,0.0007728626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0339605,"about_ca_system_score_gemma":0.04674242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8647982,"about_ca_topic_score_gemma":0.9135993,"domain_scores_codex":[0.9959824,0.0003435098,0.0001162493,0.0002572586,0.002634328,0.0006662682],"domain_scores_gemma":[0.9900736,0.002899046,0.001957064,0.0003615494,0.003562925,0.001145823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005914455,0.0002976787,0.5530344,0.0009371571,0.0005793017,0.000589387,0.01093374,0.01168337,0.003868545,0.1027443,0.01186571,0.3028749],"study_design_scores_gemma":[0.000035358,0.0001810636,0.8147235,0.0006555123,0.0004468407,0.00022407,0.008021576,0.004572684,0.007032724,0.004066901,0.1599242,0.0001155813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722366,0.007233297,0.01131034,0.004035902,0.00007654088,0.0004767456,0.007348644,0.0002207044,0.1970612],"genre_scores_gemma":[0.8949676,0.00502818,0.006784513,0.0003398943,0.00002646255,0.0001649387,0.002739983,0.0000444002,0.08990402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352018,"threshold_uncertainty_score":0.271996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644583430732055,"score_gpt":0.2863580704283928,"score_spread":0.2599122361210723,"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."}}