{"id":"W6885972098","doi":"10.1371/journal.pone.0310673.s004","title":"Full table of basic participant characteristics.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Quarter (Canadian coin); Psychological intervention; Socioeconomic status; Survey data collection; Survey research","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":[0.00250625,0.001185356,0.001611924,0.001548777,0.002163236,0.001204197,0.001313385,0.001150973,0.5589224],"category_scores_gemma":[0.01603061,0.0004526587,0.0003875959,0.002363007,0.0002595794,0.001798153,0.001275332,0.001666868,0.1899395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108042,"about_ca_system_score_gemma":0.004046717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00890751,"about_ca_topic_score_gemma":0.008610426,"domain_scores_codex":[0.9988798,0.0003622617,0.0002045229,0.0002447182,0.0001409079,0.000167693],"domain_scores_gemma":[0.995902,0.002033443,0.000237875,0.000326042,0.001091048,0.0004095165],"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":[0.0005810841,0.0004656082,0.004047663,0.00182709,0.00002112279,0.0001728154,0.0007452769,0.00008055695,0.0002044177,0.001059178,0.9341225,0.05667263],"study_design_scores_gemma":[0.0006708244,0.0004697669,0.01769692,0.003498295,0.00004500191,0.0006672449,0.004390097,0.0005340455,0.0002786705,0.005713784,0.9659398,0.00009568207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01663727,0.003072254,0.004821267,0.005028343,0.002848487,0.01812675,0.7927464,0.001901238,0.154818],"genre_scores_gemma":[0.1218462,0.01296422,0.0174956,0.01865502,0.001219214,0.1722354,0.3935811,0.001734913,0.2602684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5589224,"threshold_uncertainty_score":0.6291436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282418293414549,"score_gpt":0.3512138990801852,"score_spread":0.2229720697387303,"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."}}