{"id":"W617853167","doi":"","title":"How about a (second) lift","year":2011,"lang":"en","type":"article","venue":"Public works","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portland cement; Lift (data mining); Aggregate (composite); Civil engineering; Environmentally friendly; Engineering; Transport engineering; Environmental science; Cement; Computer science; Materials science; Archaeology; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001044126,0.0001325951,0.0001294684,0.00007481952,0.00005396003,0.0002339681,0.0002019711,0.0001343433,0.001876213],"category_scores_gemma":[0.00004898187,0.0001209656,0.00006224676,0.0002086911,0.000047527,0.0006505953,0.00003314307,0.0002553761,0.00001898885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006815446,"about_ca_system_score_gemma":0.0000257511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005792744,"about_ca_topic_score_gemma":0.00003610268,"domain_scores_codex":[0.9992622,0.00001557286,0.0001172828,0.0001459123,0.00009008849,0.0003689891],"domain_scores_gemma":[0.9994583,0.00002048479,0.00001608659,0.0003184907,0.00005710957,0.0001295036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003254374,0.0001997441,0.06109769,0.0005086426,0.0004843214,0.00005898232,0.009591417,0.0001184842,0.0002283035,0.12656,0.1070235,0.6940963],"study_design_scores_gemma":[0.0006434674,0.00006394117,0.2048718,0.00002635078,0.00002213337,0.00002486472,0.002074341,0.002929096,0.0005496802,0.07128087,0.7166955,0.0008179526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2732778,0.001630102,0.06701186,0.000945407,0.001225983,0.0002801594,0.000004674271,0.001206528,0.6544175],"genre_scores_gemma":[0.9973202,0.00001592683,0.001094989,0.0001312093,0.0001435822,0.00002189195,0.000005005219,0.00002447504,0.001242742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7240424,"threshold_uncertainty_score":0.9990362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347422935712179,"score_gpt":0.1711343375972472,"score_spread":0.1576601082401254,"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."}}