{"id":"W2970147344","doi":"","title":"A pattern language on how to apply visual instrument PRISM.","year":2013,"lang":"en","type":"article","venue":"European Conference on Pattern Languages of Programs","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Prism; Acronym; Computer science; Process (computing); Coaching; Leverage (statistics); Presentation (obstetrics); Measure (data warehouse); Cognition; Human–computer interaction; Psychology; Artificial intelligence; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004986217,0.001282954,0.0006533724,0.001697521,0.00104804,0.004243904,0.002483107,0.002538452,0.03681923],"category_scores_gemma":[0.01903667,0.0007891412,0.001332166,0.001850515,0.003207256,0.007389778,0.003707936,0.004412861,0.0212453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183922,"about_ca_system_score_gemma":0.002695196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179009,"about_ca_topic_score_gemma":0.001760714,"domain_scores_codex":[0.9955378,0.001686881,0.0009157072,0.0005953894,0.001050694,0.000213661],"domain_scores_gemma":[0.9932911,0.003404784,0.0003654587,0.001224675,0.001444077,0.0002698845],"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":[0.0001993678,0.00008589911,0.0006890774,0.001295868,0.00003351737,0.0005540196,0.00431807,0.001395233,0.006701075,0.5872019,0.1224604,0.2750655],"study_design_scores_gemma":[0.0000358135,0.00008734239,0.0002706535,0.0005172727,0.00001420456,0.0009039877,0.0007400511,0.004636064,0.004070941,0.1149615,0.8737157,0.00004652804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009263725,0.0002760523,0.9565539,0.002781071,0.0007228125,0.0004672464,0.001326732,0.00727288,0.02967283],"genre_scores_gemma":[0.02186272,0.0007245148,0.9266551,0.002025275,0.000188408,0.001881616,0.001946547,0.004435115,0.04028077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03681923,"threshold_uncertainty_score":0.1231726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532426378393885,"score_gpt":0.364401019194889,"score_spread":0.3090767554109502,"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."}}