{"id":"W4401008359","doi":"10.29173/ikc4091","title":"Canadian Kimberlite Pipe Morphology: Insights from Analogue Experiments","year":2024,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kimberlite; Morphology (biology); Geology; Computer science; Geochemistry; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002652293,0.0001775779,0.0002646299,0.0005648647,0.001267544,0.0009153324,0.0006963213,0.0006489037,0.005108356],"category_scores_gemma":[0.001102126,0.0002477433,0.0001338757,0.001572647,0.001254178,0.0005358566,0.0003963035,0.0006700158,0.0003429716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003738813,"about_ca_system_score_gemma":0.002743931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5680416,"about_ca_topic_score_gemma":0.7598596,"domain_scores_codex":[0.9996792,0.00001306904,0.000005745962,0.00006581181,0.0001900926,0.00004616088],"domain_scores_gemma":[0.9994512,0.0001204871,0.00003387979,0.00006138331,0.0002882436,0.00004486156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001901779,0.000601877,0.07490299,0.0006181403,0.00006211849,0.001214195,0.006902509,0.03741281,0.7564238,0.008773192,0.008203231,0.1029833],"study_design_scores_gemma":[0.0001429752,0.00064638,0.825375,0.00004547194,0.00007065375,0.0004835146,0.003920215,0.03806929,0.1037303,0.001544828,0.02579404,0.0001772783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657314,0.0001964718,0.003122662,0.0001685536,0.00001603118,0.00006152827,0.001103683,0.00007974851,0.02951989],"genre_scores_gemma":[0.9947227,0.0001351273,0.001219248,0.00002377922,0.000002398588,0.00001142695,0.0002030633,0.00002345778,0.003658797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4319584,"threshold_uncertainty_score":0.8690047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007213305183476816,"score_gpt":0.1961093592318464,"score_spread":0.1888960540483696,"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."}}