{"id":"W6964878500","doi":"10.3389/fpsyg.2021.609893.s001","title":"Data_Sheet_1_Using the Health Belief Model to Understand Age Differences in Perceptions and Responses to the COVID-19 Pandemic.DOCX","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health belief model; Structural equation modeling; Logistic regression; Odds; Public health; Risk perception; Socioeconomic status; Perception; Focus group; Young adult","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003237209,0.0007212252,0.0009861088,0.00336955,0.001431229,0.001543926,0.002172703,0.001027082,0.349514],"category_scores_gemma":[0.02762991,0.0008808102,0.001598083,0.007067194,0.0004415917,0.001537782,0.001275585,0.001365342,0.05172596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007337549,"about_ca_system_score_gemma":0.01391091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4538497,"about_ca_topic_score_gemma":0.5718807,"domain_scores_codex":[0.9987571,0.0001980664,0.0002477158,0.0001268486,0.000487244,0.0001829561],"domain_scores_gemma":[0.9786927,0.006936407,0.001385205,0.001118922,0.01106848,0.0007982468],"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":[0.0002940219,0.0001547704,0.02118218,0.0025739,0.00005144205,0.00005431176,0.0003787855,0.0004747991,0.0001152938,0.001317727,0.9330601,0.04034284],"study_design_scores_gemma":[0.002215933,0.000211466,0.2536279,0.004546874,0.0001130164,0.0001172669,0.001640219,0.00123011,0.0004875606,0.002848476,0.7328184,0.00014263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009127487,0.0000488997,0.0003314779,0.0003937992,0.00003372637,0.001444894,0.9907724,0.0001338939,0.005928147],"genre_scores_gemma":[0.0130556,0.0006228895,0.006681814,0.0009224368,0.00007043238,0.0277558,0.9275503,0.0001836173,0.02315714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4538497,"threshold_uncertainty_score":0.9278393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2647050171815615,"score_gpt":0.33036533780997,"score_spread":0.06566032062840843,"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."}}