{"id":"W3135285129","doi":"10.1016/j.mex.2021.101295","title":"Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems","year":2021,"lang":"en","type":"article","venue":"MethodsX","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; York University","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; York University","keywords":"Sociotechnical system; Scope (computer science); Conceptualization; Context (archaeology); Sustainability; Coding (social sciences); Computer science; Knowledge management; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01319791,0.001091178,0.0008675047,0.01098503,0.001915146,0.003043477,0.002141159,0.001657541,0.01334623],"category_scores_gemma":[0.02543214,0.0006723329,0.001674792,0.007897486,0.002153403,0.002771734,0.003322013,0.001824395,0.002351917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004258799,"about_ca_system_score_gemma":0.01311617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006729469,"about_ca_topic_score_gemma":0.006145969,"domain_scores_codex":[0.9911793,0.004853414,0.0008869976,0.001106325,0.001544911,0.0004290696],"domain_scores_gemma":[0.9817147,0.01077855,0.002191229,0.001761363,0.003115749,0.000438308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000186338,0.0009515632,0.05179542,0.003672522,0.0001552534,0.0008080581,0.02264695,0.01213271,0.005435006,0.4865061,0.01233905,0.4033712],"study_design_scores_gemma":[0.0005257966,0.001223014,0.0730975,0.003396323,0.0001877327,0.001655971,0.06495155,0.1038653,0.01625339,0.4626259,0.2719283,0.0002893691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04535772,0.0004748154,0.9001659,0.001419073,0.00008359652,0.02169942,0.006809832,0.0003363826,0.02365317],"genre_scores_gemma":[0.1050186,0.0004057114,0.8401171,0.0004187611,0.00002509251,0.04535399,0.003223292,0.00005071385,0.0053867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01334623,"threshold_uncertainty_score":0.06979805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1981209875443775,"score_gpt":0.3808742422258318,"score_spread":0.1827532546814544,"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."}}