{"id":"W3148891470","doi":"","title":"A benchmark analysis of Canadian clean technology commercialization accelerators","year":2012,"lang":"en","type":"article","venue":"Portland International Conference on Management of Engineering and Technology","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Commercialization; Benchmark (surveying); Computer science; Business; Geography; Marketing","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":[0.0018308,0.0009684298,0.0006164261,0.003420033,0.001939531,0.002469024,0.001976343,0.0007469078,0.005404121],"category_scores_gemma":[0.00543433,0.0003424581,0.0007538685,0.006571322,0.0007224232,0.0009793526,0.0006898544,0.0007371675,0.0006937311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03250331,"about_ca_system_score_gemma":0.01755675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9264893,"about_ca_topic_score_gemma":0.9413408,"domain_scores_codex":[0.9978403,0.0001935474,0.000043345,0.0001965461,0.001043916,0.0006823305],"domain_scores_gemma":[0.9942076,0.0008132069,0.0002921561,0.0003408339,0.003991819,0.0003543911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003593678,0.0006944796,0.1176058,0.0005186786,0.0004822278,0.000531675,0.0003393639,0.6411651,0.006865609,0.05376875,0.08061415,0.09382054],"study_design_scores_gemma":[0.0003299163,0.001161916,0.4043148,0.000124321,0.0004025746,0.0002260477,0.001974167,0.4990331,0.0131519,0.005862568,0.07321203,0.0002068387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888792,0.001330814,0.003040556,0.0008118517,0.00005769848,0.0001736352,0.02152351,0.0005479618,0.08363476],"genre_scores_gemma":[0.9739767,0.0003350263,0.001985869,0.00008086285,0.0000107767,0.00004094117,0.0145215,0.00009305472,0.008955202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07351071,"threshold_uncertainty_score":0.2358291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756202660538361,"score_gpt":0.2430145363446101,"score_spread":0.2254525097392265,"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."}}