{"id":"W6962744973","doi":"10.17632/wnt6thwzvp","title":"ThermoMechaLimestone","year":2021,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extensometer; Roof; Joint (building); Borehole; Cave; Cliff; Beam (structure)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001562786,0.0002920015,0.0003946128,0.00009785398,0.0001097814,0.00007990996,0.001949903,0.0001562654,0.006586873],"category_scores_gemma":[0.000007782108,0.0002866336,0.0000635394,0.000220268,0.00005524009,0.0001639593,0.001248564,0.000496895,0.0003778306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002193991,"about_ca_system_score_gemma":0.0002246954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008493474,"about_ca_topic_score_gemma":0.00003650576,"domain_scores_codex":[0.9984524,0.0000464923,0.0003017324,0.000711736,0.0001596789,0.0003280185],"domain_scores_gemma":[0.9953953,0.00003531466,0.0001829401,0.004278058,0.00004373462,0.00006462335],"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":[0.000001020529,0.0001176473,0.00005180347,0.00001020452,0.0002014095,0.000007690142,9.705089e-7,0.000001032397,0.00000690435,0.0008145899,0.9874099,0.01137676],"study_design_scores_gemma":[0.000182695,0.0000133125,0.00001712139,0.00002270472,0.0001121299,0.000002431402,0.00004627137,0.00004092696,0.00004031735,0.000482986,0.9987746,0.0002645291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003446993,0.0002230834,0.001102487,0.0002737067,0.0003450896,0.0001464251,0.9971918,0.00003954124,0.0006434383],"genre_scores_gemma":[0.0001134756,0.00002760225,0.001091686,0.00005938068,0.0005675943,0.00004446705,0.9975526,0.0000228982,0.0005203425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0113646,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04706221598845389,"score_gpt":0.2945533976331708,"score_spread":0.247491181644717,"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."}}