{"id":"W1459366638","doi":"10.26522/tl.v4i1.14","title":"Getting Boys to Read","year":2007,"lang":"en","type":"article","venue":"Teaching and Learning","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Literacy; Computer science; Internet privacy; Engineering ethics; Public relations; Psychology; Political science; Engineering; Pedagogy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361353,0.0007693304,0.0005671465,0.0007278478,0.00400727,0.004570032,0.001015472,0.002315891,0.0920881],"category_scores_gemma":[0.00540619,0.0003815755,0.000626255,0.0003073607,0.001448388,0.004508633,0.00505737,0.004038546,0.04552219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008740287,"about_ca_system_score_gemma":0.001978499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608539,"about_ca_topic_score_gemma":0.01295531,"domain_scores_codex":[0.9985832,0.0002890218,0.00004033186,0.0001896802,0.0004551007,0.0004427033],"domain_scores_gemma":[0.9970633,0.0002463518,0.0001747249,0.0001354239,0.0008291805,0.001550957],"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":[0.00009165772,0.0005014933,0.008328508,0.0005200732,0.00001919871,0.001139557,0.03744579,0.00002497352,0.002978792,0.007210669,0.7414081,0.2003311],"study_design_scores_gemma":[0.00002251692,0.0002898174,0.01349125,0.0005552653,0.00003497073,0.001112196,0.03605497,0.00002786924,0.001820816,0.002929849,0.9436285,0.00003192983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1882549,0.01637488,0.009886524,0.1027336,0.0189936,0.000735578,0.002906854,0.00405013,0.6560639],"genre_scores_gemma":[0.1743797,0.006206458,0.007739299,0.02818416,0.00111841,0.0003467653,0.001377993,0.0007911581,0.7798561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0920881,"threshold_uncertainty_score":0.3080654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127330655319797,"score_gpt":0.3577649273283063,"score_spread":0.3364916207751083,"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."}}