{"id":"W2774852441","doi":"10.1130/abs/2017am-301604","title":"LESSONS FROM INTEGRATE ON PROGRAM SCALE CHANGE: SYNTHESIZING REAL-WORLD EXPERIENCE","year":2017,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Diverse Education and Engineering Focus","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Scale (ratio); Computer science; Geography; Cartography","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":[0.01001612,0.0003900688,0.000442976,0.001538616,0.005699456,0.006893694,0.002332627,0.00239036,0.005204465],"category_scores_gemma":[0.02994914,0.0003195111,0.0004101236,0.002252949,0.005140374,0.009232699,0.007726719,0.003920309,0.0004504905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00775291,"about_ca_system_score_gemma":0.008537563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01684618,"about_ca_topic_score_gemma":0.0631198,"domain_scores_codex":[0.992765,0.004489651,0.0001857784,0.0005275999,0.001008804,0.001023204],"domain_scores_gemma":[0.9850559,0.009757407,0.000610913,0.001210364,0.001742761,0.001622724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001466683,0.001057291,0.02413126,0.0005214294,0.00005892804,0.001288952,0.7738415,0.001505334,0.0009734354,0.02389581,0.02042084,0.1521586],"study_design_scores_gemma":[0.00003286704,0.0002532477,0.01461869,0.0006872028,0.00004018625,0.0002247218,0.8655952,0.0009355642,0.001050457,0.007811849,0.1087118,0.00003829281],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.891009,0.001202675,0.01021981,0.02863092,0.0003967618,0.0003020039,0.0003050335,0.0001279326,0.06780585],"genre_scores_gemma":[0.988837,0.0008225974,0.004013604,0.001553582,0.00003790872,0.0001162282,0.0001515379,0.0001221705,0.004345299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01684618,"threshold_uncertainty_score":0.05625159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0896654356698717,"score_gpt":0.3636008923376086,"score_spread":0.2739354566677369,"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."}}