{"id":"W6944001249","doi":"10.17612/p74t1m","title":"Guelph dolomite","year":2018,"lang":"en","type":"dataset","venue":"Digital Rocks Portal","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dolomite; Core (optical fiber); Fracture (geology); Petroleum","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":["insufficient_payload"],"category_scores_codex":[0.0001614762,0.0009860686,0.0008470819,0.0004702772,0.0001497481,0.0008302995,0.001277202,0.0007778164,0.002792716],"category_scores_gemma":[0.0005900385,0.0009581923,0.0005123042,0.0004395279,0.0003298931,0.001082184,0.0007474158,0.0007246477,0.1235747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194858,"about_ca_system_score_gemma":0.0003013429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109862,"about_ca_topic_score_gemma":0.0002641079,"domain_scores_codex":[0.9957646,0.00002559158,0.0008470145,0.001174668,0.001143688,0.001044489],"domain_scores_gemma":[0.9966806,0.00008318568,0.0006927742,0.001832213,0.0002226036,0.0004886372],"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":[0.000066214,0.0002268536,0.0001064124,0.00005448451,0.0002089599,0.0007586941,0.000008232279,9.070709e-7,0.000004457495,0.000002796779,0.9983419,0.0002200641],"study_design_scores_gemma":[0.0004123778,0.0001819093,0.00008390002,0.0001061173,0.0001266671,0.0003082536,0.00001708726,0.000001679577,0.00002373678,0.0001555251,0.9974946,0.001088173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005466842,0.0001245504,0.000002797963,0.000007901053,0.001370921,0.0003755546,0.9767886,0.0003715003,0.0204115],"genre_scores_gemma":[0.002469164,0.00001260555,0.000007971271,0.0001442572,0.001963393,0.00004274883,0.9922658,0.0002493402,0.002844737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.120782,"threshold_uncertainty_score":0.9992868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490378613945558,"score_gpt":0.2648508044906515,"score_spread":0.2499470183511959,"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."}}