{"id":"W7061914341","doi":"","title":"“Science Powers Commerce”: Mapping the Language, Justifications, and Perceptions of the Drive to Commercialize in th Context of Canadian Research","year":2015,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Government (linguistics); Context (archaeology); Politics; Public policy; Perception","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.04699754,0.0003115346,0.0005307543,0.007178139,0.03463528,0.02973879,0.002266301,0.004125604,0.002427495],"category_scores_gemma":[0.1006332,0.0006010795,0.0004312821,0.01180852,0.056351,0.008863149,0.007466885,0.007352644,0.0001542054],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.137312,"about_ca_system_score_gemma":0.273039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9350837,"about_ca_topic_score_gemma":0.9539915,"domain_scores_codex":[0.9486635,0.01658293,0.002036419,0.001771467,0.02419462,0.006751089],"domain_scores_gemma":[0.868351,0.07631578,0.01361041,0.002699648,0.03122415,0.007798979],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009715429,0.00004772987,0.04819907,0.0007135375,0.00006983801,0.0008147451,0.3930285,0.0003548365,0.0009611995,0.4969033,0.01582453,0.0429855],"study_design_scores_gemma":[0.00003764345,0.00004572938,0.08457774,0.001814929,0.00008230534,0.000262257,0.6483045,0.0007175494,0.0007420533,0.04357949,0.2196224,0.0002133304],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5709774,0.009355432,0.001981873,0.1619207,0.0002550602,0.0001329544,0.0002377679,0.00003398411,0.2551048],"genre_scores_gemma":[0.9902288,0.002664106,0.0005712894,0.004691624,0.0000313822,0.00002240559,0.00004282208,0.00001590653,0.001731761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9653647,"threshold_uncertainty_score":0.9962729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508985437631298,"score_gpt":0.2457108540669543,"score_spread":0.2206209996906413,"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."}}