{"id":"W7038624247","doi":"","title":"Improved spacer bar design enhances window performance","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Communication and COVID-19 Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Window (computing); Bar (unit); Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003746359,0.0005878906,0.0006049873,0.0004905823,0.0003017267,0.0007012943,0.0008238983,0.0006630471,0.005833544],"category_scores_gemma":[0.001357641,0.0003536702,0.0003509576,0.0002527813,0.0002604051,0.00116326,0.0006213238,0.0006297394,0.001645265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344749,"about_ca_system_score_gemma":0.0002923688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001284059,"about_ca_topic_score_gemma":0.0002897785,"domain_scores_codex":[0.9996779,0.00002598545,0.00002496443,0.00006250467,0.0001260162,0.00008276475],"domain_scores_gemma":[0.9988423,0.0003831603,0.0003023632,0.0001293643,0.0002247558,0.0001180516],"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":[0.0002402245,0.00005756954,0.0003900114,0.0002242836,0.00001169605,0.00009599037,0.00004798505,0.001007278,0.9845181,0.001002934,0.0005931779,0.01181074],"study_design_scores_gemma":[0.0000486218,0.001148051,0.00277523,0.00002680154,0.00005860133,0.0004924362,0.00004246688,0.006660504,0.9777781,0.0003412846,0.01059433,0.00003356711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9055935,0.002900894,0.07453232,0.0002744264,0.001008176,0.00005649375,0.0002830329,0.002512338,0.01283894],"genre_scores_gemma":[0.9679386,0.0008118431,0.02423748,0.00008253405,0.0001773577,0.00003077227,0.0002143473,0.0003305245,0.006176572],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005833544,"threshold_uncertainty_score":0.0195151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341454661957556,"score_gpt":0.3274366175821404,"score_spread":0.2840220709625648,"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."}}