{"id":"W2010742683","doi":"10.1109/time-e.2014.7011639","title":"The measurement of humanware readiness in a technology transfer process: Case study in an electrical machinery company","year":2014,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sophistication; Delphi method; Process (computing); Competition (biology); Technology transfer; Delphi; Computer science; Transfer (computing); Phase (matter); Product (mathematics); Manufacturing engineering; New product development; Reliability engineering; Engineering management; Engineering; Business; Knowledge management; Marketing","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":[0.0004961861,0.0001248158,0.0002049537,0.00042773,0.00003613773,0.000009402524,0.000250811,0.00008730865,0.000004888086],"category_scores_gemma":[0.00001086105,0.00009079192,0.0000158294,0.0006037666,0.00003965846,0.00006303324,0.00002241517,0.0002552741,9.096925e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007039904,"about_ca_system_score_gemma":0.00000977445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007678921,"about_ca_topic_score_gemma":0.01879905,"domain_scores_codex":[0.9991153,0.00003522298,0.0002973494,0.0001651704,0.0001562008,0.0002307095],"domain_scores_gemma":[0.9996347,0.00002045745,0.00001154931,0.0002800692,0.00003724263,0.00001599139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001195958,0.003622327,0.6964709,0.0003156484,0.0002446733,0.000930223,0.00314197,0.01726675,0.004441245,0.05344421,0.0001743358,0.2198281],"study_design_scores_gemma":[0.01469982,0.004495575,0.2959246,0.0002280448,0.0002278528,0.0002651431,0.05365911,0.5938453,0.01597178,0.01735422,0.001289549,0.002039015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950249,0.00006755724,0.003202541,0.00012265,0.00003654206,0.0005392224,2.339828e-7,0.0003057509,0.0007006145],"genre_scores_gemma":[0.9997109,0.000006292765,0.0000639717,0.000006659835,0.000005245851,0.0001869936,5.534865e-7,0.00001413285,0.000005219458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5765786,"threshold_uncertainty_score":0.9991053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700401440335801,"score_gpt":0.266804224776511,"score_spread":0.249800210373153,"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."}}