{"id":"W4244747690","doi":"10.18130/v3r06d","title":"Pragmatic Measurement for Education Science: A Method-Substance Synergy of Validation and Motivation","year":2017,"lang":"en","type":"dissertation","venue":"Libra","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Association for Research in Science Teaching; James Madison University; Sage Foundation","keywords":"Psychology; Substance use; Data science; Computer science; Mathematics education; Engineering ethics; Engineering; Clinical psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.009362018,0.0001866923,0.0003679664,0.0006409834,0.0004426353,0.0005392403,0.0006761533,0.0001354681,0.0001910364],"category_scores_gemma":[0.006006993,0.0001514598,0.00008101256,0.0004928855,0.0000952133,0.001615032,0.00001852864,0.000103271,0.000008710727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008959729,"about_ca_system_score_gemma":0.002632074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001823298,"about_ca_topic_score_gemma":0.00006848377,"domain_scores_codex":[0.9952634,0.0001569038,0.0008602494,0.0005610922,0.002979938,0.0001784385],"domain_scores_gemma":[0.9940983,0.0005407619,0.001844136,0.0007028593,0.00273112,0.00008281136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001754957,0.0002363103,0.002795388,0.0006187316,0.00004948015,5.663149e-8,0.006744652,0.0002311043,0.03407009,0.04889121,0.003294869,0.9028926],"study_design_scores_gemma":[0.002082516,0.0005485897,0.3361358,0.00230851,0.0003356553,0.000004069005,0.01341354,0.02773249,0.283954,0.2848814,0.04743097,0.001172458],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8023657,0.001430957,0.05538971,0.001726236,0.007458966,0.00465591,0.00007891228,0.00008308018,0.1268105],"genre_scores_gemma":[0.9522984,0.0001181077,0.02657958,0.00009491056,0.0002109264,0.0004667591,0.0004386402,0.00003143687,0.01976124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9017202,"threshold_uncertainty_score":0.7191366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303911545504427,"score_gpt":0.5250959889791654,"score_spread":0.2947048344287228,"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."}}