{"id":"W4400970387","doi":"10.29173/ikc4192","title":"Updated Northwest Territories kimberlite compilation","year":2024,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kimberlite; Geology; Earth science; Geochemistry; Computer science; Mantle (geology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005505306,0.0008983441,0.0006949486,0.009628795,0.001346308,0.001757551,0.001227419,0.0004657371,0.1985479],"category_scores_gemma":[0.002562884,0.000551035,0.0005870092,0.01305599,0.0003384697,0.001370188,0.001088236,0.0009044528,0.09586828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002447167,"about_ca_system_score_gemma":0.008084968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2879556,"about_ca_topic_score_gemma":0.4500911,"domain_scores_codex":[0.9995199,0.00003168309,0.0000654599,0.00004790939,0.0002688664,0.00006623973],"domain_scores_gemma":[0.9971883,0.0001034307,0.0001028363,0.0002125876,0.002271534,0.0001212608],"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":[0.00005998163,0.00001798718,0.001011332,0.0004371156,0.00001329536,0.00008148808,0.00007944752,0.0001530194,0.0001603726,0.001232316,0.9483847,0.04836889],"study_design_scores_gemma":[0.000004725093,0.000002363938,0.004245853,0.00009029624,0.000006224822,0.00003579652,0.00006517088,0.00001907884,0.00009901661,0.0001827156,0.9952426,0.000006242229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003299956,0.00426415,0.001820252,0.00123423,0.006650226,0.0002608958,0.6393622,0.001296791,0.3418113],"genre_scores_gemma":[0.008614642,0.007056653,0.006432233,0.0004911863,0.000645432,0.0005093102,0.3704038,0.00152369,0.6043231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7120444,"threshold_uncertainty_score":0.664209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015023271215654,"score_gpt":0.2250048044349927,"score_spread":0.2148545717228362,"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."}}