{"id":"W4247815665","doi":"10.29173/ikc3234","title":"Diamond potential in British Columbia, Canada?","year":2019,"lang":"en","type":"article","venue":"International Kimberlite Conference Extended Abstracts: 2003","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Diamond; Computer science; Geology; Materials science; Metallurgy","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":[0.0003354312,0.0003066448,0.0004392773,0.002042003,0.006375334,0.002802311,0.001690922,0.001180076,0.01189919],"category_scores_gemma":[0.001366333,0.0003377709,0.0003519179,0.005245536,0.000946944,0.000855006,0.001275501,0.001271013,0.00075743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06149437,"about_ca_system_score_gemma":0.07995144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989024,"about_ca_topic_score_gemma":0.9998086,"domain_scores_codex":[0.9994704,0.00002327967,0.0000165196,0.00006030397,0.0001320125,0.0002973989],"domain_scores_gemma":[0.9986727,0.00005285802,0.00007691332,0.00002329816,0.0008696217,0.0003045717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044308,0.0002113158,0.7196012,0.0006234575,0.0002202655,0.003599857,0.005884917,0.002243689,0.00150168,0.022072,0.1308465,0.1121509],"study_design_scores_gemma":[0.00006927751,0.00004547232,0.813153,0.0005336554,0.00009920197,0.0006021339,0.03070172,0.001985765,0.0005375281,0.002478801,0.1497018,0.000091687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8633986,0.009212087,0.0002825106,0.02188038,0.0002068461,0.00009287043,0.02085666,0.00006611338,0.08400393],"genre_scores_gemma":[0.9483271,0.003077673,0.0003539272,0.001164154,0.00002065583,0.00002498384,0.002523666,0.00002435524,0.04448347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06149437,"threshold_uncertainty_score":0.446175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006373228368509141,"score_gpt":0.1994429170169252,"score_spread":0.193069688648416,"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."}}