{"id":"W4253234689","doi":"10.32920/ryerson.14656089.v1","title":"A case study approach : exploring socially inclusive programming for toddlers with Down Syndrome through a relationship lens","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Family and Disability Support Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Education and Early Childhood Development; Seneca Polytechnic; York University","funders":"","keywords":"Toddler; Inclusion (mineral); Set (abstract data type); Psychology; Developmental psychology; Typically developing; Social psychology; Computer science; Autism","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":[],"consensus_categories":[],"category_scores_codex":[0.004634372,0.0007183501,0.0005491371,0.001968553,0.0108347,0.006042778,0.002086016,0.002495665,0.00398678],"category_scores_gemma":[0.006604747,0.0004629059,0.0006123398,0.001629199,0.009273023,0.004579921,0.006457638,0.002943518,0.0003825508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004852517,"about_ca_system_score_gemma":0.004561177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392071,"about_ca_topic_score_gemma":0.03681265,"domain_scores_codex":[0.9923545,0.006191465,0.0001498723,0.000316977,0.000389354,0.0005977731],"domain_scores_gemma":[0.9952721,0.0033469,0.0003698215,0.0002250239,0.0003245652,0.000461514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006106521,0.0001968429,0.009162954,0.0004009801,0.00002191967,0.02228655,0.8913615,0.000272712,0.001453837,0.05590558,0.002242688,0.01663334],"study_design_scores_gemma":[0.000008489112,0.0001035999,0.002255654,0.000286183,0.00001672118,0.005193194,0.9594895,0.0002081313,0.0005063766,0.003044565,0.02887391,0.00001354117],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8314213,0.005392667,0.03677142,0.0139989,0.0003872612,0.0009480194,0.0002487606,0.00009582156,0.1107359],"genre_scores_gemma":[0.9712706,0.003371678,0.01477704,0.0007301492,0.00003846065,0.0004212071,0.00004594463,0.0000257471,0.009319094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392071,"threshold_uncertainty_score":0.03520763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3475665187151569,"score_gpt":0.4229695008480283,"score_spread":0.07540298213287133,"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."}}