{"id":"W2929153984","doi":"10.22004/ag.econ.273063","title":"Are clawbacks always efficient? Northern Vigor in Canada","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry","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":[0.001227216,0.0001898171,0.0005047281,0.001158653,0.02163331,0.005956555,0.001078235,0.001063746,0.01425768],"category_scores_gemma":[0.003452539,0.0003369424,0.0002976084,0.00310782,0.004400276,0.001523628,0.002066626,0.001823351,0.0005661117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1158627,"about_ca_system_score_gemma":0.143914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978971,"about_ca_topic_score_gemma":0.9996506,"domain_scores_codex":[0.9978206,0.0001472432,0.000024293,0.0001784594,0.0003976495,0.00143174],"domain_scores_gemma":[0.9966801,0.0003230765,0.0001627731,0.0001025655,0.001438116,0.001293348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006547273,0.0001479857,0.1581623,0.0003494678,0.0000987763,0.001667034,0.06621504,0.001810781,0.001118163,0.4154343,0.1810943,0.1732472],"study_design_scores_gemma":[0.00005536521,0.00006596475,0.3207562,0.0006093587,0.0000833483,0.0002638547,0.1365302,0.001095728,0.0007645349,0.01728819,0.52235,0.000137281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6231281,0.005202772,0.0006452857,0.03588247,0.0002114179,0.00007694853,0.001468061,0.00009901384,0.3332859],"genre_scores_gemma":[0.9040693,0.001546888,0.0005918271,0.002207897,0.00002223893,0.00002080964,0.0002311141,0.00005156578,0.09125835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158627,"threshold_uncertainty_score":0.8406465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09390593403046772,"score_gpt":0.1873256090306532,"score_spread":0.09341967500018551,"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."}}