{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429691,0.0001453492,0.0001347674,0.00003433317,0.0009959475,0.0005026911,0.0004038032,0.0001076925,0.0002924472],"category_scores_gemma":[0.0003680823,0.0001188582,0.00005151403,0.00008128894,0.00007116048,0.00082871,0.00003299168,0.000170728,0.0002104189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006246773,"about_ca_system_score_gemma":0.00008122418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006260763,"about_ca_topic_score_gemma":0.0003450423,"domain_scores_codex":[0.99907,0.00008729776,0.0002328631,0.000177798,0.0001669006,0.0002651307],"domain_scores_gemma":[0.998977,0.00006606591,0.0000813943,0.0007077353,0.00007948646,0.00008829593],"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":[0.0008795285,0.0001793364,0.001596214,0.00005411032,0.0002680518,0.00008687733,0.001223243,0.001117722,0.2851372,0.3279744,0.2931324,0.08835094],"study_design_scores_gemma":[0.001223641,0.0002158057,0.007804507,0.000005487195,0.00004041481,0.00002834438,0.0001295838,0.0116575,0.0130934,0.001336855,0.9639991,0.0004653883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514882,0.0002262821,0.0003934292,0.001362189,0.01011417,0.0004133643,0.00004160463,0.0001999939,0.03576078],"genre_scores_gemma":[0.9941657,0.00008569933,0.0003519763,0.0002604184,0.002409608,0.00003332556,0.00002145351,0.0000313032,0.002640532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6708667,"threshold_uncertainty_score":0.7660124,"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."}}