{"id":"W2560169604","doi":"","title":"In situ Analysis of North American Diamond: Implications for Diamond Growth Modeling","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diamond; In situ; Geology; Environmental science; Materials science; Metallurgy; Geography; Meteorology","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":[0.0003395544,0.0002956342,0.0003107841,0.000330244,0.0007193201,0.0007770534,0.0006209491,0.0006462627,0.002100916],"category_scores_gemma":[0.0005747434,0.0002140063,0.0002729321,0.0006973948,0.0001919799,0.0007041825,0.0002894549,0.000447875,0.0002947199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014858,"about_ca_system_score_gemma":0.001124613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08569428,"about_ca_topic_score_gemma":0.1999907,"domain_scores_codex":[0.9999028,0.00001723019,0.00000321102,0.00003427496,0.00002811576,0.00001429142],"domain_scores_gemma":[0.9997625,0.00006954456,0.00001366992,0.00002277482,0.0001201845,0.00001139673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005579359,0.0009424381,0.2864237,0.0003627191,0.0002474907,0.0004062701,0.001046673,0.3968796,0.204387,0.005966322,0.009442737,0.09333717],"study_design_scores_gemma":[0.00004821863,0.00008229108,0.1160218,0.00003225646,0.0001129759,0.0001122938,0.001555656,0.8139461,0.04941403,0.007085274,0.01154097,0.00004821141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957712,0.0001949217,0.0272981,0.0007421717,0.00005524456,0.00002154908,0.002449234,0.0004199645,0.01110687],"genre_scores_gemma":[0.9802618,0.0001892889,0.0165025,0.00008753026,0.000008969939,0.00001739964,0.0007968673,0.00007812421,0.002057536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08569428,"threshold_uncertainty_score":0.170391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795869005878788,"score_gpt":0.24732386141564,"score_spread":0.2293651713568521,"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."}}