{"id":"W3046439605","doi":"10.22215/timreview/1374","title":"Using Foresight to Shape Future Expectations in Circular Economy SMEs","year":2020,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures studies; USable; Industrial organization; Business; Marketing; Knowledge management; Process management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121924,0.0004055541,0.0002820569,0.001981874,0.0007338312,0.004222024,0.000754516,0.001003049,0.003649744],"category_scores_gemma":[0.04429665,0.0002035826,0.000453779,0.001951286,0.001550764,0.007964839,0.002324406,0.001583258,0.0004209534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003511398,"about_ca_system_score_gemma":0.003533397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009934401,"about_ca_topic_score_gemma":0.01391333,"domain_scores_codex":[0.9966477,0.002328351,0.0001787943,0.0001581675,0.0004707683,0.0002162262],"domain_scores_gemma":[0.9754741,0.01641122,0.003560957,0.0009030607,0.003134291,0.0005163732],"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":[0.0003709403,0.0001179316,0.05219802,0.002574902,0.0002496143,0.0009926724,0.0237042,0.03815221,0.0005566439,0.4472246,0.02137427,0.412484],"study_design_scores_gemma":[0.00005625416,0.0002493045,0.03172593,0.00687813,0.00024339,0.0003450482,0.03856042,0.04524292,0.001648453,0.724317,0.1505168,0.0002162974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4891334,0.06029221,0.1359282,0.0981216,0.001045952,0.0003191056,0.001521744,0.0004448429,0.2131929],"genre_scores_gemma":[0.9825867,0.008889637,0.006123233,0.0005936312,0.00008325595,0.00005387545,0.000271082,0.00001924845,0.001379359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121924,"threshold_uncertainty_score":0.06448036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434702334920774,"score_gpt":0.2749565618709333,"score_spread":0.2406095385217255,"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."}}