{"id":"W6989747268","doi":"","title":"Canada – Nova Scotia Province – Sydney – Steel Company Piers","year":2013,"lang":"en","type":"article","venue":"Digital USD (University of San Diego)","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Work (physics); Excavation; Window (computing)","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":[0.00009763813,0.0001088478,0.0001765834,0.00006079876,0.0001005284,0.0001368887,0.0005449115,0.00003850968,0.001791452],"category_scores_gemma":[0.00003680745,0.0001150744,0.00003698628,0.0001768807,0.0002525966,0.0009390418,0.0002123883,0.00006488328,0.0003821755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417735,"about_ca_system_score_gemma":0.0004904917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5702688,"about_ca_topic_score_gemma":0.2572459,"domain_scores_codex":[0.9988569,0.00001356564,0.00009463405,0.0002428453,0.0003989671,0.0003931047],"domain_scores_gemma":[0.9993929,0.00003554347,0.00005812105,0.0002040794,0.0001084134,0.0002009554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005720055,0.0001608125,0.003783029,0.0003404169,0.00003209647,0.0001112684,0.000496712,0.0007495155,0.864031,0.002391294,0.1218011,0.006045524],"study_design_scores_gemma":[0.005361136,0.001499136,0.5269027,0.001091112,0.0001227872,0.0001077067,0.0232356,0.01032731,0.1936695,0.001332367,0.2315201,0.004830573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868699,0.00001332546,0.0003175546,0.0002359594,0.0002438307,0.0001736283,0.0001311971,0.00005032046,0.01196432],"genre_scores_gemma":[0.9975016,0.000001652978,0.0003437567,0.00002520009,0.00001715161,1.285195e-7,0.00001485937,0.000006934084,0.002088767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6703616,"threshold_uncertainty_score":0.9991211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115019401709663,"score_gpt":0.1896025242049616,"score_spread":0.1784523301878649,"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."}}