{"id":"W4284991023","doi":"10.1002/aur.2777","title":"Representativeness of autistic samples in studies recruiting through social media","year":2022,"lang":"en","type":"article","venue":"Autism Research","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Rivière-des-Prairies; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"H. Lundbeck A/S; Lundbeckfonden","keywords":"Representativeness heuristic; Autism; Psychology; Social media; Autistic spectrum disorder; Data science; Developmental psychology; Computer science; Social psychology; World Wide Web","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1988361,0.0008015889,0.001450038,0.00472289,0.003135077,0.004276754,0.002521647,0.00241125,0.00346586],"category_scores_gemma":[0.3275616,0.001072268,0.001871031,0.004579658,0.003571956,0.004028573,0.003779649,0.001366379,0.000641528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479188,"about_ca_system_score_gemma":0.003007554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003146174,"about_ca_topic_score_gemma":0.006426093,"domain_scores_codex":[0.7279496,0.204789,0.0334888,0.01113003,0.01954849,0.003094111],"domain_scores_gemma":[0.7794721,0.140432,0.02679836,0.03350944,0.01780884,0.001979274],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002516919,0.0006757675,0.7390527,0.01598196,0.005603781,0.001950894,0.06347676,0.001136731,0.006104117,0.01546524,0.01155959,0.1364755],"study_design_scores_gemma":[0.0009514479,0.00397779,0.7903048,0.01171419,0.004002654,0.003313159,0.04085271,0.005130364,0.008726191,0.02771748,0.1030462,0.000263046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236347,0.02889299,0.1524326,0.00936906,0.003584096,0.04664317,0.003638413,0.0004571352,0.0313479],"genre_scores_gemma":[0.8880842,0.002204779,0.05932599,0.005197904,0.000372704,0.04140582,0.001460654,0.00009621929,0.001851691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8011639,"threshold_uncertainty_score":0.9879777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4952150532445524,"score_gpt":0.5068619767632837,"score_spread":0.01164692351873131,"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."}}