{"id":"W2905535531","doi":"10.3138/cpp.2018-020","title":"Transition Experiments: Opening Up Low-Carbon Transition Pathways for Canada through Innovation and Learning","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; Carleton University","funders":"","keywords":"Transition (genetics); Control reconfiguration; Energy transition; Carbon fibers; Process (computing); Psychological intervention; Environmental economics; Political science; Business; Computer science; Economics; Psychology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358157,0.000160421,0.000195806,0.0008874626,0.0007831586,0.0004243244,0.0002294673,0.000114185,0.00005905018],"category_scores_gemma":[0.00125631,0.0001596289,0.00003856497,0.00190046,0.0001098526,0.0007145081,0.00001037163,0.0001440861,0.000003879676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625352,"about_ca_system_score_gemma":0.003596482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8966686,"about_ca_topic_score_gemma":0.9350368,"domain_scores_codex":[0.9978434,0.0001394633,0.0005301968,0.0004502131,0.0005113579,0.00052536],"domain_scores_gemma":[0.9983823,0.0001526351,0.000160129,0.0002301451,0.0007871503,0.000287626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000168987,0.00006214073,0.0007757884,0.00007357865,0.0001362857,0.00001492765,0.05772945,0.0009858423,0.01061829,0.4782108,0.01594986,0.435274],"study_design_scores_gemma":[0.005268807,0.0008228814,0.004869359,0.0002147321,0.00006508053,0.0000712405,0.04382886,0.4826579,0.003750461,0.1470593,0.3094449,0.00194646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541381,0.00005799529,0.02621053,0.01080312,0.0004340598,0.000342357,0.00009639656,0.00004599495,0.007871451],"genre_scores_gemma":[0.9942812,0.000007420905,0.0004550718,0.004411543,0.0003805713,0.00005362079,0.0001400251,0.00002121973,0.0002493174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4816721,"threshold_uncertainty_score":0.6509477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296743260816547,"score_gpt":0.3502537949537366,"score_spread":0.2205794688720819,"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."}}