{"id":"W6925224432","doi":"10.17612/p7x597","title":"Fractional-wet medium (OpenFOAM File)","year":2016,"lang":"en","type":"dataset","venue":"Digital Rocks Portal","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"File format; Window (computing); Line (geometry); Key (lock)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001627508,0.001119926,0.0009548324,0.0005619883,0.0001958704,0.0006804691,0.001353674,0.0008898486,0.1061565],"category_scores_gemma":[0.001509315,0.0009292348,0.0005840684,0.0003526596,0.0002391088,0.002336288,0.0006998777,0.00097181,0.201895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623454,"about_ca_system_score_gemma":0.0009483637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001494663,"about_ca_topic_score_gemma":0.0002743521,"domain_scores_codex":[0.9944324,0.00003375057,0.001047514,0.001305822,0.002059959,0.001120595],"domain_scores_gemma":[0.9958497,0.0004673629,0.001030072,0.001653099,0.0002969249,0.0007028725],"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":[0.00008496323,0.0002966106,0.0000562128,0.00004533902,0.0003030852,0.0009169281,0.00000391435,0.000001706585,0.000003349558,0.00000615562,0.9978267,0.0004550622],"study_design_scores_gemma":[0.0005757303,0.00009999407,0.0002346895,0.0002544931,0.0001055131,0.0004263302,0.00002269416,7.766282e-7,0.00002028218,0.0002287137,0.9968004,0.001230361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001564259,0.00009026666,0.00001179413,0.00007983715,0.001702652,0.0004567577,0.9531595,0.0003395034,0.04414405],"genre_scores_gemma":[0.0005327581,0.00002680073,0.000004802235,0.0002512554,0.002380785,0.0001800215,0.9788883,0.0002799384,0.01745538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09573843,"threshold_uncertainty_score":0.9993158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265867091006865,"score_gpt":0.2629023829512953,"score_spread":0.2502437120412266,"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."}}