{"id":"W7025378678","doi":"","title":"Using LED innovations to benefit individuals, employers and the environment","year":2013,"lang":"en","type":"other","venue":"NPARC","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Key (lock); Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005017392,0.0005177386,0.0005813592,0.001718712,0.004054292,0.007019719,0.001748383,0.003929311,0.3735381],"category_scores_gemma":[0.03497276,0.0002840093,0.0004069541,0.001386089,0.001677606,0.00392149,0.005140238,0.002718259,0.2026138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385723,"about_ca_system_score_gemma":0.01300565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741666,"about_ca_topic_score_gemma":0.01403971,"domain_scores_codex":[0.9931892,0.001130144,0.0001799514,0.0004863613,0.004216423,0.0007980198],"domain_scores_gemma":[0.9589536,0.004795602,0.001139508,0.003021687,0.02437957,0.007710042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002199504,0.0001466297,0.0005832672,0.0001361815,0.000004747304,0.0001060043,0.0001696087,0.00009177047,0.0002686589,0.006074721,0.8901193,0.1022772],"study_design_scores_gemma":[0.00001867401,0.00002813752,0.002241426,0.0001361865,0.000003781944,0.000071701,0.0002850849,0.0002197942,0.0003968113,0.002521015,0.994065,0.00001232719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002495763,0.0007962573,0.0009582501,0.01252184,0.006681283,0.0003319026,0.0007292472,0.0006748294,0.9748106],"genre_scores_gemma":[0.01012283,0.0005546198,0.0005195964,0.001623408,0.0007203206,0.0001117346,0.0003747875,0.0002155464,0.9857572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3735381,"threshold_uncertainty_score":0.8935719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892979637455907,"score_gpt":0.2310625989008745,"score_spread":0.2121328025263154,"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."}}