{"id":"W4249736489","doi":"10.1037/e503632013-001","title":"Adapting a Textbook: The Lessons I Learned Saba Safdar University of Guelph Canada","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Literacy and Educational Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Library science; Mathematics education; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003473938,0.0006554017,0.0009875778,0.006300464,0.00158029,0.004504237,0.002168694,0.001187564,0.03274567],"category_scores_gemma":[0.03296179,0.000520747,0.0007882914,0.01570457,0.000445259,0.002563801,0.002486281,0.002160218,0.02658862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009488195,"about_ca_system_score_gemma":0.01843577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6518425,"about_ca_topic_score_gemma":0.8190552,"domain_scores_codex":[0.9972551,0.0005825806,0.0002720314,0.0004493814,0.001149038,0.0002919008],"domain_scores_gemma":[0.9757847,0.006170463,0.0005875623,0.003756066,0.01170342,0.001997849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002163565,0.00001170753,0.002601108,0.0001121003,0.000006842913,0.00001019395,0.00005694251,0.0001442478,0.00001450833,0.0004100504,0.9764213,0.02018939],"study_design_scores_gemma":[0.00003796743,0.000006765286,0.01510944,0.0005083378,0.00001377273,0.00001843811,0.0004036812,0.0007556665,0.0001202531,0.0007910813,0.9822041,0.00003038504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002407697,0.001035415,0.0007968785,0.007002828,0.0004355971,0.00007671136,0.9764506,0.001303546,0.01049067],"genre_scores_gemma":[0.007045608,0.001307709,0.003963399,0.000691673,0.00009869847,0.0002367513,0.9735884,0.000460215,0.01260759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6518425,"threshold_uncertainty_score":0.7004157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112020144750952,"score_gpt":0.380900252871978,"score_spread":0.2696982383968828,"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."}}