{"id":"W2090438504","doi":"10.5912/jcb660","title":"To Market, To Market: Ontario, Canadaâ€™s vision to improve commercialization of healthcare research","year":2014,"lang":"en","type":"article","venue":"Journal of Commercial Biotechnology","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Government (linguistics); Investment (military); Business; Market analysis; Incentive; Seed money; Finance; Capital market; Health care; Investor relations; Bioethics; Venture capital; Marketing; Economic growth; Strategic management; Economics; Market economy; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.008906891,0.0005193875,0.0003533503,0.001546079,0.00559076,0.009371606,0.001659242,0.00557105,0.008375142],"category_scores_gemma":[0.0119676,0.0005157583,0.0008636527,0.002897537,0.005465082,0.003460762,0.002564412,0.003420722,0.001565296],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0910354,"about_ca_system_score_gemma":0.3590037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9493171,"about_ca_topic_score_gemma":0.9583253,"domain_scores_codex":[0.9937114,0.0006725835,0.000174677,0.0003671196,0.003859967,0.001214252],"domain_scores_gemma":[0.9776754,0.001931886,0.001054101,0.0006619639,0.009918717,0.008757892],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002145949,0.00008998818,0.00578635,0.0005667357,0.0000426752,0.0003109952,0.001631302,0.0007926852,0.001640653,0.1606239,0.7537979,0.07450216],"study_design_scores_gemma":[0.0001224519,0.00006160072,0.01364196,0.0002480654,0.00002961947,0.00008547921,0.0005563402,0.0007561048,0.000432393,0.01169282,0.9723271,0.00004614979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01137184,0.01515363,0.004668295,0.8339633,0.002812287,0.000265865,0.002775693,0.0003863517,0.1286028],"genre_scores_gemma":[0.2537476,0.03596388,0.03806135,0.1455212,0.002384659,0.0004981585,0.003024345,0.0003703331,0.5204285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910931,"threshold_uncertainty_score":0.6605111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601344928933147,"score_gpt":0.325259145699664,"score_spread":0.2792456964103325,"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."}}