{"id":"W3159912938","doi":"10.1007/s10643-021-01188-z","title":"Noticing and Naming Computational Thinking During Play","year":2021,"lang":"en","type":"article","venue":"Early Childhood Education Journal","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Sociology of Education; Psychology; CLIPS; Mathematics education; Pedagogy; Cognitive psychology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004767372,0.0001123374,0.0001128034,0.0001497575,0.001089395,0.001405419,0.0002687561,0.00004116943,0.00001762917],"category_scores_gemma":[0.0002539542,0.0001166887,0.00005075776,0.0002387586,0.00001843993,0.0007421444,0.0001141251,0.0006525581,0.00001064311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005804747,"about_ca_system_score_gemma":0.0008133018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009152458,"about_ca_topic_score_gemma":7.93973e-7,"domain_scores_codex":[0.9987705,0.0001582838,0.0002467284,0.0002584901,0.0003205472,0.0002454932],"domain_scores_gemma":[0.999228,0.00009833588,0.0001664821,0.0001548715,0.000143238,0.0002090793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000002194261,0.0002652682,0.02864362,0.0000174137,0.00007330668,0.00005353444,0.1824513,0.005701891,0.0001626538,0.009180654,0.000136898,0.7733113],"study_design_scores_gemma":[0.0003415195,0.00002941949,0.9892797,0.0002332902,0.00001004472,0.003242651,0.001271771,0.0005379016,0.00007770501,0.003311089,0.001462503,0.0002024435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8027342,0.0006665979,0.1932905,0.00215511,0.0008744356,0.00003345672,1.369374e-7,0.00009661167,0.0001489624],"genre_scores_gemma":[0.7929429,0.000006890381,0.2062363,0.000268626,0.0003940749,0.000001312809,0.000001923077,0.000009779221,0.0001381194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.960636,"threshold_uncertainty_score":0.9996312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005570402871047564,"score_gpt":0.2310410430047131,"score_spread":0.2254706401336655,"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."}}