{"id":"W4416194898","doi":"10.2196/82265","title":"Pro- and Antifluoride Use Messages on YouTube in Japan: Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Misinformation; Content analysis; Style (visual arts); Focus (optics); Perception; Health communication; Adversary; Focus group","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462777,0.0002918313,0.0004954446,0.008375767,0.0006561242,0.0007183672,0.0002490145,0.0003118546,0.001466598],"category_scores_gemma":[0.006677487,0.0001520725,0.0004040258,0.006653152,0.0003338973,0.001305829,0.0008035218,0.0002361194,0.0001904344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591927,"about_ca_system_score_gemma":0.001439968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806509,"about_ca_topic_score_gemma":0.0307886,"domain_scores_codex":[0.9992059,0.0002219555,0.0001655227,0.0001076789,0.0001856504,0.0001132032],"domain_scores_gemma":[0.9956253,0.00207325,0.0008096976,0.00005805225,0.00121831,0.0002154508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122035,0.0004352828,0.6008912,0.01881856,0.0002667141,0.002793401,0.08881147,0.0003223728,0.009266557,0.0007125615,0.01571586,0.2607457],"study_design_scores_gemma":[0.00003898768,0.0003133815,0.9225098,0.00157191,0.0003540766,0.0004080101,0.05733429,0.002227063,0.001713015,0.0001342863,0.01333258,0.00006257945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983303,0.00197823,0.0004805601,0.0003320179,0.00003924124,0.001164263,0.009821426,0.00003068385,0.002850477],"genre_scores_gemma":[0.9718444,0.004222467,0.00455854,0.0002995596,0.00008669676,0.002908315,0.01396938,0.00002841516,0.002082337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806509,"threshold_uncertainty_score":0.0359199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06991851730387509,"score_gpt":0.3767572789290764,"score_spread":0.3068387616252013,"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."}}