{"id":"W2883422532","doi":"10.18461/ijfsd.v9i2.923","title":"Food Futures and 3D Printing: Strategic Market Foresight and the Case of Structur3D","year":2018,"lang":"en","type":"article","venue":"International journal on food system dynamics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Dalhousie University","funders":"","keywords":"Futures studies; Context (archaeology); Business; Sustainability; Food systems; Marketing; Agribusiness; Incentive; Business model; Industrial organization; Economics; Food security; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003062895,0.0001416814,0.0001737777,0.0001472046,0.0001300099,0.0001362058,0.0002481656,0.00007821884,0.000009313158],"category_scores_gemma":[0.0000526838,0.00009272319,0.0000472846,0.00003943759,0.0001967838,0.00006323029,0.0000961194,0.000273672,7.142246e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007744387,"about_ca_system_score_gemma":0.000009571546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006736452,"about_ca_topic_score_gemma":0.0001026856,"domain_scores_codex":[0.9992483,0.0000485187,0.0002933065,0.0001149253,0.0001669287,0.0001280666],"domain_scores_gemma":[0.9993798,0.0001551088,0.0001595919,0.0001276459,0.0001417174,0.00003618249],"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":[0.0006229536,0.00003403314,0.001094813,0.000429314,0.002451832,0.0006518696,0.00127321,0.001899021,0.00009336287,0.9059289,0.0002860595,0.0852347],"study_design_scores_gemma":[0.006130175,0.002538401,0.01004082,0.001496697,0.0001863744,0.05116014,0.01701964,0.8247718,0.00692651,0.07788128,0.0008956891,0.0009525056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910058,0.0001511366,0.002867166,0.0001415535,0.0008068028,0.00009520655,0.00005601369,0.0001142264,0.004762065],"genre_scores_gemma":[0.9989056,0.00004188042,0.0007438381,0.00000877779,0.0002612595,0.000003127184,0.000001480381,0.00001749004,0.0000165749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8280475,"threshold_uncertainty_score":0.3781142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105612959898271,"score_gpt":0.22097695655383,"score_spread":0.2099208269548473,"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."}}