{"id":"W4320082527","doi":"10.5114/jos.2022.124311","title":"Quality and interaction levels of Instagram posts related to orthodontic #clearaligners","year":2023,"lang":"en","type":"article","venue":"Journal of Stomatology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Dentistry; Medicine; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001071247,0.0002084583,0.0003569912,0.001793152,0.000557296,0.0009894709,0.000391874,0.0003639797,0.02619257],"category_scores_gemma":[0.01138362,0.0002046386,0.0007215119,0.001756351,0.000249879,0.0006254716,0.0009377098,0.0009855992,0.002952787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363159,"about_ca_system_score_gemma":0.0006410968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0080694,"about_ca_topic_score_gemma":0.01494909,"domain_scores_codex":[0.9978408,0.0002738095,0.0002832838,0.0001545291,0.00125542,0.0001922368],"domain_scores_gemma":[0.986648,0.002358849,0.005974365,0.0003809172,0.00355446,0.001083357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002667836,0.0003106116,0.7297568,0.0008555295,0.0002721756,0.000395813,0.004519266,0.0001409445,0.002734401,0.0004417426,0.02604041,0.2318646],"study_design_scores_gemma":[0.000009786819,0.0001702895,0.9885942,0.0001187064,0.00007995927,0.0002600017,0.001814184,0.00006798901,0.0004133095,0.00009697678,0.008353729,0.00002088402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457804,0.008244292,0.001159756,0.002806569,0.0004250709,0.0001912722,0.009917432,0.0001973101,0.03127798],"genre_scores_gemma":[0.9593524,0.005237586,0.002590087,0.0003567939,0.0002277472,0.0001886366,0.00541046,0.0001360707,0.02650021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02619257,"threshold_uncertainty_score":0.08762288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2258733606524371,"score_gpt":0.5189479668577923,"score_spread":0.2930746062053552,"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."}}