{"id":"W2749363597","doi":"","title":"The Analogy Retriever – an idea generation tool","year":2017,"lang":"en","type":"article","venue":"Spiral (Imperial College London)","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analogy; Novelty; Creativity; Variety (cybernetics); Quality (philosophy); Computer science; Labrador Retriever; Analogical reasoning; Process (computing); Cognitive science; Artificial intelligence; Management science; Epistemology; Engineering; Psychology; Social psychology; Medicine; Programming language; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003277942,0.001094886,0.001082264,0.002881059,0.0006987736,0.002032643,0.002391324,0.001763804,0.02434169],"category_scores_gemma":[0.01159768,0.0006671221,0.001333736,0.001402518,0.0009091907,0.003369626,0.002013853,0.001406309,0.006583653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916988,"about_ca_system_score_gemma":0.0009203789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003185482,"about_ca_topic_score_gemma":0.0003528138,"domain_scores_codex":[0.9982805,0.0006137562,0.000172632,0.0003581296,0.0004939017,0.00008108225],"domain_scores_gemma":[0.9943724,0.004100024,0.0002470049,0.0007046338,0.0004619845,0.0001139853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006164899,0.0003679341,0.001122337,0.001049155,0.0001145247,0.001185397,0.001708151,0.006702809,0.03207983,0.04504753,0.02705059,0.8829553],"study_design_scores_gemma":[0.001339475,0.00160695,0.002992181,0.0006370354,0.0003329423,0.008569269,0.00109425,0.287676,0.09784654,0.1170812,0.4803813,0.0004427643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007378845,0.0003026843,0.9656278,0.0002907138,0.00009896248,0.0003629898,0.0003375151,0.01734813,0.008252357],"genre_scores_gemma":[0.0411504,0.000218464,0.9513618,0.0001593533,0.00004297723,0.0003136488,0.0004825852,0.0006837997,0.005587004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02434169,"threshold_uncertainty_score":0.08143109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041297604189337,"score_gpt":0.2824499090857962,"score_spread":0.2520369330439028,"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."}}