{"id":"W4414540855","doi":"10.1149/2.002253if","title":"Pennington Corner: United through Science & Technology","year":2025,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Technology transfer; Technology development","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004048211,0.0002231634,0.0003157765,0.0001864878,0.0008348345,0.0009837234,0.008505066,0.0003308922,0.0002116363],"category_scores_gemma":[0.008277278,0.0001339153,0.0001873937,0.01075881,0.002233685,0.0008578624,0.001720675,0.001644913,0.0003158997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002053,"about_ca_system_score_gemma":0.000330072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005335598,"about_ca_topic_score_gemma":0.000003437429,"domain_scores_codex":[0.9964552,0.00009374159,0.0005808051,0.0008193648,0.001262341,0.0007885264],"domain_scores_gemma":[0.9966622,0.00123971,0.000233368,0.001123235,0.0006597855,0.00008169944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004916192,0.00005673594,0.001370303,0.000004395863,0.00005490865,2.073887e-7,0.001980793,0.00002561039,0.5935563,0.02099377,0.3784562,0.003451654],"study_design_scores_gemma":[0.0002404198,0.00002389981,0.00007712115,0.00003669328,0.00002011469,0.00001129482,0.002053443,0.001771083,0.5373278,0.1192233,0.3390093,0.0002054725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6690653,0.001270541,0.2360758,0.06564081,0.0004931625,0.0002960423,0.000004393972,0.0003455966,0.02680837],"genre_scores_gemma":[0.980416,0.00005851977,0.002340964,0.004800322,0.00006912169,0.00001986444,0.000004136798,0.0000104581,0.0122806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3113507,"threshold_uncertainty_score":0.9968594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652977975828049,"score_gpt":0.4102267211094207,"score_spread":0.3636969413511402,"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."}}