{"id":"W4292348719","doi":"10.20360/langandlit29603","title":"Magic and Monsters","year":2022,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"MAGIC (telescope); Scope (computer science); Literacy; Pedagogy; Sociology; Affect (linguistics); Mathematics education; Psychology; Computer science; Communication","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008996604,0.00003086696,0.00004263372,0.00004307216,0.0002367377,0.00007352258,0.00004070496,0.00001276848,0.0002888815],"category_scores_gemma":[0.00002247162,0.00002999707,0.000008026856,0.00009263825,0.0000700253,0.0001418483,0.00009938532,0.00005439865,0.00000360751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009002204,"about_ca_system_score_gemma":0.00001155274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334648,"about_ca_topic_score_gemma":0.00003168463,"domain_scores_codex":[0.9996777,0.00002326503,0.00004467887,0.00008718143,0.00007213167,0.00009511075],"domain_scores_gemma":[0.9998771,0.00003048303,0.0000130887,0.00004318522,0.000004852237,0.00003132308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001611928,0.00003641241,0.04608219,0.000008962972,0.00001035701,0.0001773029,0.3296332,1.00401e-7,0.000113628,0.1087887,0.002524021,0.5126089],"study_design_scores_gemma":[0.0002927254,0.000033253,0.009473213,0.000004265589,0.000004028881,0.00002051804,0.04410182,0.000007802766,0.00002070087,0.006787773,0.9391117,0.0001421662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9224113,0.001529086,0.0000037648,0.001237393,0.00005154689,0.00004807168,0.000003850649,0.00004968839,0.07466528],"genre_scores_gemma":[0.9918072,0.00004176547,0.0001142627,0.0007141572,0.00002704989,0.000003707094,0.000005028539,0.000002227147,0.007284665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9365877,"threshold_uncertainty_score":0.316305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006930785270729232,"score_gpt":0.2704581977663908,"score_spread":0.2635274124956616,"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."}}