{"id":"W4393873643","doi":"10.5281/zenodo.10333957","title":"Building No.8 (Royal Canadian Corps of Signals)","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007376177,0.00398217,0.001846287,0.005641342,0.001837911,0.004044306,0.003304372,0.00226201,0.09324107],"category_scores_gemma":[0.005790899,0.001013968,0.001637806,0.01313167,0.000611885,0.002036776,0.002313354,0.002252677,0.1864582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00348671,"about_ca_system_score_gemma":0.006350841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3220407,"about_ca_topic_score_gemma":0.50713,"domain_scores_codex":[0.9985145,0.0001415023,0.0001038669,0.0004850806,0.000406914,0.0003481042],"domain_scores_gemma":[0.997959,0.0003020227,0.000135271,0.0005209944,0.0007786196,0.0003040888],"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":[0.00003070065,0.000009363043,0.0004115789,0.0003624864,0.00001269855,0.00001567182,0.00002107207,0.0002037182,0.00005658578,0.0003761112,0.9965708,0.001929213],"study_design_scores_gemma":[0.00007102505,0.000006190028,0.002352141,0.0002139729,0.00001596145,0.00002665877,0.00007203381,0.0003441671,0.0001829998,0.0007904519,0.995902,0.00002238905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008785916,0.00009041707,0.00005412799,0.00003212279,0.00001465922,0.000007201479,0.9978439,0.0006856552,0.001184067],"genre_scores_gemma":[0.0002392029,0.0000698529,0.0002012545,0.00001679833,0.000003475563,0.00002263712,0.9987834,0.0001139194,0.0005494783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6779593,"threshold_uncertainty_score":0.6403323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888652305586317,"score_gpt":0.2209434691457077,"score_spread":0.2020569460898446,"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."}}