{"id":"W6944072641","doi":"10.17632/bwndgt89wp","title":"Xiamaling Data base","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Base (topology); Data system; Relational database; Data integration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007126501,0.001307641,0.001022348,0.005437727,0.0007821599,0.002550117,0.001917506,0.0009163377,0.1141383],"category_scores_gemma":[0.004199475,0.0005476737,0.000571203,0.01153762,0.0003649919,0.001297614,0.001926686,0.001160492,0.09944397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475426,"about_ca_system_score_gemma":0.003088018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02397719,"about_ca_topic_score_gemma":0.03322507,"domain_scores_codex":[0.9993686,0.00005711307,0.0001046994,0.000201976,0.0001598531,0.0001077587],"domain_scores_gemma":[0.9984995,0.0002963827,0.0002063158,0.0003947831,0.0004710684,0.0001318815],"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":[0.0001617189,0.00002019873,0.002750467,0.001756563,0.00006662672,0.00005533688,0.00008079945,0.0005516221,0.0006258796,0.002215727,0.9806281,0.01108705],"study_design_scores_gemma":[0.00005043841,0.000006809108,0.004349983,0.0002198555,0.00002751694,0.00002488678,0.00005353633,0.0001093356,0.0004163981,0.0007305824,0.9939964,0.00001417387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001544144,0.00005457455,0.0000392358,0.00002324046,0.0000067936,0.000005649155,0.998419,0.0001634261,0.001133569],"genre_scores_gemma":[0.0005828806,0.00008291797,0.0001992782,0.0000214642,0.000003735048,0.00004561552,0.9982921,0.00005506166,0.0007168681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8858618,"threshold_uncertainty_score":0.3818305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2582057563086409,"score_gpt":0.3979734505409775,"score_spread":0.1397676942323366,"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."}}