{"id":"W4413368696","doi":"10.64628/aam.9qamtagvn","title":"Vaccine hesitancy: How social and technological issues converged to spawn mistrust","year":2025,"lang":"en","type":"article","venue":"","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Spawn (biology); Political science; Biology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01381486,0.0002733589,0.0004170694,0.001440696,0.004450623,0.008479825,0.001225707,0.003609804,0.009272471],"category_scores_gemma":[0.04577048,0.0003467073,0.0004814925,0.000912106,0.01204997,0.007296613,0.005869247,0.007894449,0.0004263698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005671809,"about_ca_system_score_gemma":0.007951776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099284,"about_ca_topic_score_gemma":0.01311391,"domain_scores_codex":[0.9907251,0.005095066,0.0002334677,0.0008437673,0.001527314,0.00157525],"domain_scores_gemma":[0.9694819,0.01859419,0.004131421,0.001649319,0.00283727,0.003305861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004510257,0.0007285825,0.226698,0.0001951267,0.0002445661,0.002124665,0.1641678,0.001876053,0.00180182,0.49081,0.01859279,0.09230962],"study_design_scores_gemma":[0.0001510063,0.0004347881,0.1738362,0.0008813196,0.0002074459,0.001636934,0.1513123,0.009019842,0.00238968,0.5296623,0.1300956,0.0003726523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7550929,0.001783052,0.005642492,0.1190455,0.0008605279,0.0000785337,0.0001318349,0.00005231931,0.1173129],"genre_scores_gemma":[0.9933416,0.0002213302,0.0004026443,0.004320402,0.0001381485,0.00001516934,0.00001710404,0.00002800766,0.00151544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955494,"threshold_uncertainty_score":0.07306087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204707678844969,"score_gpt":0.3202257293247162,"score_spread":0.2997549614402193,"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."}}