{"id":"W7132312305","doi":"","title":"Nio and Li Auto: Diffusion of Innovation for NEVs","year":2022,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Diffusion; Non-blocking I/O; Thermal diffusivity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001071267,0.000918759,0.001079311,0.001994827,0.002099706,0.000117337,0.0006222,0.0008626766,0.003085545],"category_scores_gemma":[0.001157469,0.001047809,0.000301276,0.001908027,0.002158676,0.0004292016,0.0007309671,0.000842243,0.0001244815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992797,"about_ca_system_score_gemma":0.004251787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327611,"about_ca_topic_score_gemma":0.00001231131,"domain_scores_codex":[0.9936654,0.0002586738,0.002279112,0.001476901,0.001707515,0.0006123953],"domain_scores_gemma":[0.9944825,0.0003247421,0.002832721,0.0009470162,0.001220467,0.0001926174],"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":[0.002221006,0.002432354,0.006592974,0.00348217,0.001331639,0.0001586249,0.0008085591,0.001291778,0.3035208,0.5649048,0.1036526,0.009602608],"study_design_scores_gemma":[0.003036655,0.0005483696,0.009310725,0.0009077262,0.0004218312,0.0004740269,0.0001677812,0.002802768,0.002908539,0.0009010502,0.9774492,0.001071276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1323333,0.009998037,0.005087555,0.0001189972,0.01554369,0.006100347,0.003195717,0.0003950622,0.8272273],"genre_scores_gemma":[0.5271931,0.0004471193,0.005912522,0.0003027121,0.004939798,0.001734419,0.005315885,0.001463858,0.4526905],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8737966,"threshold_uncertainty_score":0.9991995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624018996064871,"score_gpt":0.2553871594067734,"score_spread":0.2391469694461247,"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."}}