{"id":"W6929981635","doi":"10.5281/zenodo.10641550","title":"Data Archive from the MX3D Bridge in Amsterdam","year":2024,"lang":"en","type":"dataset","venue":"University of Twente Research Information","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Bridge (graph theory); Directory; Metadata; Context (archaeology); Set (abstract data type); Data set","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003405938,0.0002196462,0.00031243,0.0015417,0.0002393518,0.0002138687,0.004931815,0.0002172542,0.000424944],"category_scores_gemma":[0.0007796274,0.0002036486,0.0000881313,0.001117601,0.000598862,0.002846633,0.00622345,0.00218292,0.04394452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339156,"about_ca_system_score_gemma":0.0006792726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04982351,"about_ca_topic_score_gemma":0.03260696,"domain_scores_codex":[0.9961531,0.0006987886,0.0004101616,0.0003500812,0.001862884,0.0005250105],"domain_scores_gemma":[0.9958835,0.0008569612,0.000300522,0.002525886,0.0003079475,0.0001252117],"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":[0.0002642112,0.00004587868,0.0000432914,0.0002719604,0.0001108755,0.00003663803,0.001169697,0.00002083553,0.000002849764,0.0000195431,0.9967722,0.001242],"study_design_scores_gemma":[0.0005828816,0.00004608099,0.002704863,0.0007018255,0.00005482138,0.000002252615,0.002593504,0.001986515,0.000001919793,0.0001592145,0.9910005,0.0001656246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004060981,0.00009482681,0.00003861628,0.0005571758,0.0001845662,0.0008038596,0.9966655,0.00003579922,0.001213579],"genre_scores_gemma":[0.0002063433,0.0008079031,0.00007240193,0.0000290763,0.00007801862,6.288255e-7,0.9987148,0.00001346913,0.00007733213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04351958,"threshold_uncertainty_score":0.9850454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132682176394551,"score_gpt":0.3569021482208843,"score_spread":0.2242199718263333,"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."}}