{"id":"W4248733135","doi":"10.1016/s1464-2859(15)30179-6","title":"Plug Power expands fuel cell lift truck fleet with Walmart Canada","year":2015,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Lift (data mining); Engineering; Power (physics); Aeronautics; Fuel cells; Plug-in; Automotive engineering; Transport engineering; Computer science; Operating system; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001974791,0.0004135409,0.0004143349,0.00006850394,0.00004971608,0.00008577669,0.0002941914,0.0002231745,0.002622242],"category_scores_gemma":[0.000008311193,0.0003360297,0.00005870305,0.0001492778,0.00004828042,0.0000442273,0.00006329305,0.0002993709,0.0008069881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174113,"about_ca_system_score_gemma":0.0002209202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02774041,"about_ca_topic_score_gemma":0.01078773,"domain_scores_codex":[0.9981367,0.00004341621,0.000385238,0.0003506386,0.0004399857,0.0006440208],"domain_scores_gemma":[0.9988946,0.00004834916,0.0000695359,0.0004529138,0.00009320368,0.0004413372],"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":[0.0001253518,0.00008036979,0.0001010713,0.001458046,0.00009251163,0.0003942527,0.0007601363,0.03827099,0.004097851,0.00001274405,0.9545808,0.00002580003],"study_design_scores_gemma":[0.001335446,0.0001352273,0.00004841066,0.00005033955,0.00003500376,0.00002243158,0.0002525407,0.0002590469,0.01837102,0.00002998819,0.9788924,0.0005681329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1601141,0.0181679,0.00004546444,0.0007732681,0.006566933,0.0006241951,0.000149064,0.0007169865,0.8128421],"genre_scores_gemma":[0.9832248,0.0009727637,0.001049326,0.0004062597,0.0002736191,0.00002815594,0.0000470654,0.0001650015,0.013833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8231108,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004733812581356918,"score_gpt":0.1526882769114753,"score_spread":0.1479544643301184,"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."}}