{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004479268,0.00006062561,0.00008826543,0.0003697571,0.00349713,0.0001981868,0.0003763852,0.0001202157,0.000340076],"category_scores_gemma":[0.002105333,0.00004682855,0.00002147994,0.0006391868,0.00002119124,0.0001617125,0.00002429868,0.0005116241,0.0001509997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933878,"about_ca_system_score_gemma":0.002420464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177511,"about_ca_topic_score_gemma":0.09976818,"domain_scores_codex":[0.998595,0.00009442176,0.0001832731,0.0001258425,0.0002403009,0.0007611843],"domain_scores_gemma":[0.9981236,0.0004453349,0.00003751191,0.00007503736,0.000368159,0.0009502827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000449038,0.000004354973,0.06816066,0.00001034701,0.00008437134,0.0000483772,0.04234294,0.000008503244,0.0002746944,0.02408807,0.7404044,0.1245284],"study_design_scores_gemma":[0.0002124348,0.00002890358,0.0231604,0.00002103216,0.000003641545,0.0000113922,0.002632737,0.000007803181,0.00007764705,0.003881534,0.9698946,0.000067869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975108,0.001539281,0.0002378012,0.09918969,0.0006303506,0.0005254166,0.00001743492,0.000008806503,0.0003403634],"genre_scores_gemma":[0.9903691,0.0003271254,0.00004238384,0.0004409767,0.001071791,0.000031059,0.000004698196,0.000009655225,0.007703252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2294902,"threshold_uncertainty_score":0.9978002,"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."}}