{"id":"W2910001977","doi":"10.4095/293658","title":"Assessment of the structure, content, and usability of the Kimberlite Indicator and Diamond Database (KIDD)","year":2014,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Kimberlite; Usability; Diamond; Database; Computer science; Geochemistry; Geology; Materials science; Operating system; Metallurgy","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":[0.01909621,0.0003836751,0.0005146391,0.006776914,0.0008854585,0.002482029,0.001397191,0.0008314537,0.001828444],"category_scores_gemma":[0.09564382,0.0004237472,0.0005732753,0.005040393,0.0007637346,0.002803747,0.0029145,0.000599657,0.000846926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172197,"about_ca_system_score_gemma":0.002586995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801576,"about_ca_topic_score_gemma":0.01981033,"domain_scores_codex":[0.9888671,0.003353258,0.001627105,0.0009217346,0.004867478,0.0003633734],"domain_scores_gemma":[0.8481718,0.09057727,0.006386602,0.011798,0.04077536,0.002291058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003681822,0.001912751,0.6496508,0.0009496549,0.0002288843,0.0003322313,0.01115075,0.001711671,0.01228232,0.0015505,0.008725226,0.3078235],"study_design_scores_gemma":[0.0002999803,0.002462873,0.9249846,0.0003737705,0.0004484713,0.0005760238,0.007973978,0.01407579,0.02184424,0.0007684741,0.02603374,0.0001580644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834437,0.0002482491,0.004026354,0.0003230867,0.00003100722,0.0007833845,0.005168928,0.0004525959,0.005522764],"genre_scores_gemma":[0.954725,0.0002956681,0.02524026,0.0001192982,0.00002578402,0.0004593486,0.01450581,0.0002914481,0.004337331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01909621,"threshold_uncertainty_score":0.1009916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689856636144934,"score_gpt":0.2802827547874689,"score_spread":0.2433841884260196,"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."}}