{"id":"W4388452102","doi":"10.25071/2817-5344/56","title":"Public Sector Contribution to Vaccine Research and Development","year":2023,"lang":"en","type":"article","venue":"Canadian Journal for the Academic Mind","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Private sector; Government (linguistics); Business; Public sector; Investment (military); Procurement; Intellectual property; Government procurement; Incentive; Public policy; Public economics; Economic growth; Economics; Political science; Market economy; Marketing; Politics; Economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03137223,0.001003665,0.0008537662,0.004357694,0.002559987,0.01298688,0.001604706,0.008041453,0.04357903],"category_scores_gemma":[0.06267712,0.0006731293,0.001225144,0.003539918,0.003906738,0.005934354,0.01010982,0.008161466,0.0113979],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01108213,"about_ca_system_score_gemma":0.05738361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005431011,"about_ca_topic_score_gemma":0.003230274,"domain_scores_codex":[0.9730818,0.01228225,0.001008467,0.001512523,0.007220564,0.004894348],"domain_scores_gemma":[0.9017951,0.04498644,0.008696712,0.008730912,0.019749,0.01604184],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004142717,0.0004549268,0.01005683,0.001724418,0.0001986138,0.0007862582,0.0007210916,0.002303113,0.001220859,0.3395482,0.2783602,0.3642111],"study_design_scores_gemma":[0.00009635796,0.0001310798,0.002293577,0.0008217701,0.00006138527,0.0004554735,0.0004204414,0.000868734,0.0008654065,0.04266635,0.9512872,0.00003225307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008913746,0.04026836,0.01117266,0.6119727,0.01210835,0.0003585307,0.001635814,0.000615662,0.3129541],"genre_scores_gemma":[0.5246769,0.09460177,0.01125179,0.1447081,0.02005526,0.000589253,0.002694097,0.0004854629,0.2009374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.994569,"threshold_uncertainty_score":0.1659142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410423377665743,"score_gpt":0.4030767710567628,"score_spread":0.1620344332901885,"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."}}