{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004366566,0.0003115447,0.0004428713,0.002614568,0.0001474365,0.0001365427,0.0006763811,0.0001039804,0.0005644213],"category_scores_gemma":[0.0001462128,0.0003345302,0.00006422545,0.01297415,0.00004510594,0.0008529988,0.0006583424,0.0002204121,0.0005380394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725844,"about_ca_system_score_gemma":0.00001741518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001099303,"about_ca_topic_score_gemma":0.00000437271,"domain_scores_codex":[0.9978365,0.00001482069,0.0008368958,0.0006384589,0.0002191939,0.0004541008],"domain_scores_gemma":[0.9988264,0.000008876728,0.0003541723,0.0005011997,0.000295063,0.00001430188],"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":[0.000008222737,0.00005932515,0.003537167,0.009587037,0.00008823429,0.0001046485,0.00003839028,0.0002962025,0.00004385497,0.9094847,0.03028078,0.04647147],"study_design_scores_gemma":[0.0005057313,0.00001273891,0.0005143809,0.0006893236,0.0001243957,0.000001241808,0.002824845,0.004946203,0.00001435143,0.01609123,0.9738162,0.0004593173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0614334,0.0283478,0.07208145,0.7160991,0.0008105969,0.01729162,0.000004567401,0.003233719,0.1006977],"genre_scores_gemma":[0.7012851,0.002544798,0.0224611,0.2683624,0.001825048,0.002571537,0.0002975373,0.0002155539,0.0004369399],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9435354,"threshold_uncertainty_score":0.9999107,"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."}}