{"id":"W3047679070","doi":"","title":"From science to technology : The value of knowledge from the business sector","year":2018,"lang":"en","type":"article","venue":"Leiden Repository (Leiden University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Value (mathematics); Knowledge transfer; Sociology of scientific knowledge; Industrial organization; Knowledge management; Marketing; Computer science; Sociology","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":[0.0001007311,0.000153687,0.0001740689,0.0002515758,0.0004402683,0.00005369566,0.001534199,0.0001228012,0.00003354618],"category_scores_gemma":[0.0000594464,0.0001086924,0.00004834346,0.002929682,0.0005618815,0.0002179995,0.0003203351,0.0002353482,0.00003763676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678906,"about_ca_system_score_gemma":0.0001555742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732829,"about_ca_topic_score_gemma":0.0002370151,"domain_scores_codex":[0.9990245,0.00004194757,0.0001616526,0.0002869357,0.0002114636,0.0002734708],"domain_scores_gemma":[0.998702,0.0001383195,0.00006251341,0.0006635604,0.0003640816,0.00006948649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006437839,0.00003608299,0.07959381,0.00002139845,0.0002464303,0.00006343803,0.00341793,0.002166237,0.8934764,0.006019855,0.007457234,0.007436841],"study_design_scores_gemma":[0.0004071945,0.0001116019,0.5071517,0.0001406192,0.000145676,0.00002205441,0.001245402,0.004107114,0.4271206,0.00150066,0.05764468,0.0004027915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879463,0.0002626938,0.001721486,0.0003590854,0.0008081402,0.00017923,0.00001128476,0.0001648236,0.008546999],"genre_scores_gemma":[0.998075,0.000007605757,0.0005291591,0.00003945671,0.0006196894,8.533122e-7,0.00000118934,0.00001744799,0.0007096065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663558,"threshold_uncertainty_score":0.4432348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003961847229890225,"score_gpt":0.1706606294789643,"score_spread":0.1666987822490741,"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."}}