{"id":"W1493019506","doi":"","title":"Combining scenario analysis, the Delphi method, and the innovation diffusion model for analyzing the development of the light-emitting diode Panel Industry","year":2012,"lang":"en","type":"article","venue":"Portland International Conference on Management of Engineering and Technology","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delphi method; Liquid-crystal display; Delphi; Quarter (Canadian coin); Pessimism; Diffusion; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01351396,0.002169064,0.001298215,0.007774424,0.001761559,0.002546312,0.001308987,0.001406522,0.003587843],"category_scores_gemma":[0.01906518,0.0009364715,0.003168995,0.004850247,0.001065201,0.002659307,0.002710262,0.001762127,0.0002136715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003956347,"about_ca_system_score_gemma":0.00360066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00995912,"about_ca_topic_score_gemma":0.009299261,"domain_scores_codex":[0.987641,0.009919411,0.0003997133,0.0006099235,0.0008675187,0.0005624379],"domain_scores_gemma":[0.9759316,0.02167941,0.0007389219,0.0003825744,0.0009511658,0.0003164371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005280299,0.0007498311,0.02432484,0.001469268,0.00124522,0.000967622,0.004421041,0.8098185,0.001952843,0.06579738,0.002069328,0.08665612],"study_design_scores_gemma":[0.00007148177,0.0004016203,0.003866758,0.0001512439,0.0001201931,0.0001437759,0.004143486,0.9515224,0.0007127228,0.03638842,0.002346721,0.0001312282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4072447,0.0007586827,0.5699055,0.0009430683,0.0000920556,0.004199365,0.001258479,0.0001903477,0.0154077],"genre_scores_gemma":[0.713928,0.0006690235,0.2791687,0.0001463865,0.00002127905,0.00415061,0.0009132953,0.00002537612,0.0009773046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01351396,"threshold_uncertainty_score":0.07146949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278598076799249,"score_gpt":0.3546969828363954,"score_spread":0.2268371751564704,"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."}}