{"id":"W6887858095","doi":"10.17632/szn4jtfkbx","title":"XCT images and networks of Ottawa sand and Angular sand","year":2021,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Betweenness centrality; Finite element method; Image (mathematics); Enhanced Data Rates for GSM Evolution; Particle (ecology); Feature (linguistics); Thermal conduction; Digital image; Heat transfer","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"],"consensus_categories":[],"category_scores_codex":[0.001353864,0.000682084,0.001187608,0.0002606187,0.0001402995,0.0002759099,0.001455436,0.0004813439,0.0005479695],"category_scores_gemma":[0.0004349768,0.0006610015,0.00005052158,0.0003947885,0.0004741421,0.0005195257,0.003959163,0.0007197985,0.00005415274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709874,"about_ca_system_score_gemma":0.000159517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008257341,"about_ca_topic_score_gemma":0.0006251677,"domain_scores_codex":[0.9961109,0.0003542492,0.000721351,0.00161892,0.0005929424,0.0006016021],"domain_scores_gemma":[0.9940098,0.0002568377,0.0005439248,0.004789778,0.0001206417,0.0002790033],"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":[0.00004247164,0.00009582201,0.0001803501,0.0004899942,0.0003808841,0.0002282373,0.000008679625,0.000005712776,0.0003806028,0.000002519178,0.9968945,0.001290256],"study_design_scores_gemma":[0.001073185,0.00006793495,0.0004313028,0.0004372304,0.0007853211,0.000164878,0.0000400778,0.0003358816,0.000216392,0.00002003478,0.9957863,0.0006414456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009366344,0.0549284,0.00006028683,0.00003636103,0.000202361,0.0003629619,0.9441609,0.00003786714,0.0001172343],"genre_scores_gemma":[0.0001389567,0.011289,0.0009540899,0.00007798233,0.0003710083,0.00001285728,0.9869668,0.0001198784,0.00006940907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0436394,"threshold_uncertainty_score":0.9995841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919339212119409,"score_gpt":0.2906656759843995,"score_spread":0.2614722838632054,"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."}}