{"id":"W6907518014","doi":"10.20380/gi2017.03","title":"Tell Me More! Soliciting Reader Contributions to Software Tutorials","year":2017,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Software; Work (physics); Range (aeronautics); Value (mathematics); Screen reader; Software review","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0006789819,0.0002655264,0.0003616219,0.00004523519,0.005609731,0.001036858,0.006000587,0.0001115008,0.000008873668],"category_scores_gemma":[0.000224471,0.0002810021,0.0002125493,0.0001541251,0.0001513523,0.0005028551,0.002486662,0.0004863587,0.00002563339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822259,"about_ca_system_score_gemma":0.0007294021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1571524,"about_ca_topic_score_gemma":0.03417651,"domain_scores_codex":[0.9978152,0.0001625968,0.000522784,0.0004933006,0.0004384858,0.0005676346],"domain_scores_gemma":[0.9932749,0.0003412115,0.0004118214,0.005010271,0.0007037341,0.0002581226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001562071,0.0001225214,0.002639285,0.00005575263,0.000341821,0.0000140111,0.0116944,0.002111357,0.001833972,0.7995808,0.1725825,0.009022037],"study_design_scores_gemma":[0.0004162261,0.00004130866,0.008508484,0.0002670091,0.00002697708,0.00001819078,0.0003810718,0.02143405,0.001104274,0.0007347376,0.9662714,0.0007962931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003664466,0.0002037285,0.9792298,0.01346137,0.001535727,0.0004703777,0.00004614547,0.0003116549,0.0010767],"genre_scores_gemma":[0.6384006,0.0000263885,0.3496547,0.003775748,0.001666515,0.000136951,0.00005212815,0.000050508,0.006236546],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7988461,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427053793378111,"score_gpt":0.330899777916255,"score_spread":0.2866292399824739,"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."}}