{"id":"W6945146495","doi":"10.25384/sage.21685619","title":"Supplemental Material - Psychometric Properties of a Preschool Language, Literacy, and Behavior Screener","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Language Development and Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Psychometrics; Reliability (semiconductor); Item response theory; Psychometric testing; Test (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002698816,0.0009463162,0.0008191149,0.003509502,0.001085537,0.0008987902,0.00121329,0.0008397675,0.3661518],"category_scores_gemma":[0.03515327,0.0004654863,0.0008038012,0.001827749,0.0002064081,0.0009974911,0.0008000066,0.001180525,0.06151578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104483,"about_ca_system_score_gemma":0.001338456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240943,"about_ca_topic_score_gemma":0.007547395,"domain_scores_codex":[0.9983942,0.0003897926,0.0003477626,0.0001480329,0.0006514107,0.00006880681],"domain_scores_gemma":[0.9638485,0.02250021,0.001922417,0.001553384,0.009394436,0.0007811018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000693355,0.003389758,0.02481298,0.0007063461,0.00006213638,0.0001530088,0.0002690844,0.0003925332,0.0009732342,0.0008357593,0.8697181,0.09799369],"study_design_scores_gemma":[0.00256499,0.004573284,0.4874352,0.002174897,0.0003588893,0.003374382,0.001421034,0.004266893,0.01294088,0.0107021,0.4698179,0.0003694068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09976944,0.0008591162,0.02297147,0.003555868,0.001431442,0.01881156,0.7753143,0.008322914,0.06896383],"genre_scores_gemma":[0.1899102,0.001866645,0.08466972,0.004157037,0.0009023336,0.05338001,0.5507648,0.003085313,0.1112641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3661518,"threshold_uncertainty_score":0.9041075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475805637265725,"score_gpt":0.3479861964526405,"score_spread":0.3032281400799833,"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."}}