{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00411453,0.0005126103,0.0004986438,0.001655247,0.008779461,0.009643789,0.0008528437,0.001841243,0.006707739],"category_scores_gemma":[0.008950783,0.0004254147,0.0004641785,0.0009176063,0.0479305,0.01027812,0.01316793,0.003009362,0.0007281348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503906,"about_ca_system_score_gemma":0.002627376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519256,"about_ca_topic_score_gemma":0.006435498,"domain_scores_codex":[0.9934781,0.003407081,0.0002324156,0.0009007236,0.001274043,0.0007077058],"domain_scores_gemma":[0.9952959,0.002334822,0.0005754823,0.0009376137,0.0002912912,0.000564906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006240245,0.00003110846,0.004465597,0.0001599546,0.00001468523,0.0006778867,0.2124246,0.0001260063,0.0007705825,0.7386839,0.007634998,0.03494829],"study_design_scores_gemma":[0.0000278291,0.0001027967,0.004628533,0.0004989978,0.00003390859,0.002219741,0.1162353,0.0002842059,0.001136137,0.2248308,0.6499355,0.00006629944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.277829,0.01258515,0.02005962,0.03908749,0.001175349,0.0000952771,0.0001446262,0.0004192237,0.6486043],"genre_scores_gemma":[0.9712038,0.001476008,0.002635018,0.001854236,0.000126348,0.00004509811,0.00002526813,0.00007700663,0.02255723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009643789,"threshold_uncertainty_score":0.02542269,"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."}}