{"id":"W4393435884","doi":"10.5281/zenodo.10232262","title":"Measuring Tool","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001200581,0.0002147137,0.0002274275,0.0002987695,0.002055683,0.0006397641,0.001594013,0.0002073113,0.1761487],"category_scores_gemma":[0.001560748,0.0001911641,0.00008788579,0.0004347743,0.0002109258,0.0002334775,0.0006183679,0.0008928283,0.1091497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003809262,"about_ca_system_score_gemma":0.000008833603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002964832,"about_ca_topic_score_gemma":0.00001028021,"domain_scores_codex":[0.9971809,0.0006025828,0.0002619672,0.0005663806,0.0007839036,0.0006042707],"domain_scores_gemma":[0.9986468,0.00007956976,0.0001239634,0.0006052597,0.0003020715,0.0002423174],"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":[0.00008223412,0.00001117085,0.000002533958,0.0001053886,0.00002474142,0.00001915004,0.00002527484,0.0001087169,0.00001120969,0.00001175404,0.8626408,0.136957],"study_design_scores_gemma":[0.0001984338,0.0004473744,0.0008601868,0.00003990074,0.00001078672,0.00007593141,0.00002697904,0.0001495825,0.00001273389,0.0003789467,0.9975596,0.0002395364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002821383,0.0001863098,0.0004692804,0.0001888789,0.0002373117,0.0006889032,0.9775062,0.000283131,0.02015783],"genre_scores_gemma":[0.002733682,0.0004474858,0.0001074736,0.0001204868,0.0002983003,1.470012e-8,0.9955987,0.0001979147,0.0004959606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1367175,"threshold_uncertainty_score":0.9992435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08595248892118372,"score_gpt":0.2404425982201708,"score_spread":0.1544901092989871,"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."}}