{"id":"W4245217033","doi":"10.22215/timreview1011","title":"A Proposed Approach for Idea Selection in Front End of Innovation Activities","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Front and back ends; Front (military); Computer science; Process management; Business; Artificial intelligence; Engineering; Mechanical engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008735758,0.001151636,0.0009045213,0.005972602,0.002741308,0.007427825,0.003933118,0.004125013,0.03506596],"category_scores_gemma":[0.01853319,0.0006788106,0.002624231,0.004248206,0.004435034,0.008240267,0.004505252,0.002054262,0.006486062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003781644,"about_ca_system_score_gemma":0.005898776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003159991,"about_ca_topic_score_gemma":0.003423305,"domain_scores_codex":[0.9910889,0.004024928,0.0005030347,0.001552266,0.002216582,0.000614264],"domain_scores_gemma":[0.9844402,0.008761016,0.0009387346,0.001997818,0.003120726,0.0007415726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001627529,0.0003045285,0.003843186,0.0003962264,0.00007639163,0.0003370444,0.001622108,0.005907368,0.00191161,0.7423583,0.005429595,0.2376509],"study_design_scores_gemma":[0.0002072414,0.0004240248,0.003499125,0.0004469905,0.0002337302,0.00128328,0.00230391,0.1791563,0.00362165,0.7379977,0.07069119,0.0001347567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009414059,0.0004710505,0.9249337,0.002544671,0.0002181857,0.001094319,0.0002137755,0.0007077326,0.06040255],"genre_scores_gemma":[0.1982275,0.0004208371,0.7750695,0.000397095,0.0001336939,0.001183508,0.0003484438,0.00007821487,0.02414126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03506596,"threshold_uncertainty_score":0.1173073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957157833750522,"score_gpt":0.2332629823866121,"score_spread":0.2136914040491069,"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."}}