{"id":"W3199226521","doi":"10.29173/slw8228","title":"Reading Between the Lines: Motivation Lessons Learned from the Forest of Reading in Ontario","year":2021,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Public Works and Government Services Canada","funders":"","keywords":"Reading (process); Reading motivation; Psychology; SPARK (programming language); Mathematics education; Pedagogy; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002925652,0.0002019512,0.0003403103,0.0008168677,0.012821,0.003158585,0.0009009289,0.0005410141,0.003764943],"category_scores_gemma":[0.006448008,0.0002335383,0.0002426704,0.00158862,0.003178041,0.001575021,0.002013353,0.001565297,0.0002348257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07640439,"about_ca_system_score_gemma":0.1117164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753317,"about_ca_topic_score_gemma":0.9954149,"domain_scores_codex":[0.9973575,0.0008185804,0.00005668027,0.0002345725,0.0007293827,0.0008031873],"domain_scores_gemma":[0.9949703,0.001505141,0.0004154079,0.0001285745,0.001509848,0.001470761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009409959,0.0003221674,0.06616183,0.0001837339,0.00001613262,0.0008689268,0.8439291,0.0001098837,0.0007826762,0.005231062,0.01458241,0.06771809],"study_design_scores_gemma":[0.00001263858,0.00009855933,0.1627141,0.0002650616,0.00002096883,0.00008627198,0.7569206,0.0001742951,0.0004324802,0.000758914,0.07846934,0.00004668422],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573765,0.0006272316,0.0002074111,0.01043936,0.00005944417,0.00007262264,0.0001525454,0.00001406536,0.0310507],"genre_scores_gemma":[0.983269,0.0008213097,0.0003568558,0.0006340682,0.00001311719,0.00003361647,0.00006430674,0.00001900486,0.01478871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07640439,"threshold_uncertainty_score":0.5543552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06718646120673198,"score_gpt":0.3011012065634089,"score_spread":0.2339147453566769,"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."}}