{"id":"W6894209317","doi":"10.5683/sp3/g80iqx","title":"Gritty Dolomite EDS Sample NK31","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dolomite; Sample (material); Spectral line; Large sample","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":[],"consensus_categories":[],"category_scores_codex":[0.0007814335,0.002683282,0.001848631,0.00388232,0.001603204,0.002301241,0.003473748,0.002667681,0.06604466],"category_scores_gemma":[0.002513572,0.0009409524,0.001530954,0.006017469,0.0005299349,0.00152562,0.001698789,0.001622505,0.09384331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550862,"about_ca_system_score_gemma":0.001979733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03892071,"about_ca_topic_score_gemma":0.1086932,"domain_scores_codex":[0.9988882,0.00006814983,0.00006147307,0.0003543772,0.000433965,0.0001938984],"domain_scores_gemma":[0.9987011,0.000223637,0.00008057409,0.0003760265,0.0005333304,0.00008520439],"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":[0.0001614767,0.00004571275,0.001382477,0.0008055395,0.00008846846,0.00008485831,0.00003762682,0.0005325113,0.002253495,0.0004442705,0.9885178,0.005645843],"study_design_scores_gemma":[0.0001962909,0.00002099247,0.009951627,0.00010957,0.0000921973,0.0002094681,0.0001162586,0.0007410992,0.004597975,0.001718867,0.9821882,0.00005753175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001215739,0.0002793773,0.0006231716,0.00009400609,0.0000697745,0.00001886984,0.9881471,0.004401668,0.005150279],"genre_scores_gemma":[0.001886431,0.00009517754,0.001225064,0.00005865307,0.00001262995,0.0000373414,0.9942631,0.0007741375,0.001647508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06604466,"threshold_uncertainty_score":0.2209414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733886934383371,"score_gpt":0.3026707764156005,"score_spread":0.2653319070717668,"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."}}