{"id":"W4242716592","doi":"10.29173/ikc3252","title":"Welcome","year":2019,"lang":"en","type":"article","venue":"International Kimberlite Conference Extended Abstracts: 2003","topic":"Mineralogy and Gemology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000234973,0.0001909435,0.0002061604,0.0001130799,0.00008232927,0.00007658701,0.0004154584,0.0001219277,0.04264041],"category_scores_gemma":[0.0001842141,0.0001631408,0.00005746654,0.0001494122,0.0001315056,0.0003432959,0.00002211735,0.0002725411,0.008630833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008158941,"about_ca_system_score_gemma":0.00008772289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005930965,"about_ca_topic_score_gemma":0.0009218042,"domain_scores_codex":[0.9986006,0.00004429886,0.0003447138,0.0003812734,0.0002990485,0.0003300592],"domain_scores_gemma":[0.9990944,0.0001258801,0.0001381037,0.0002172958,0.0003220713,0.0001022466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002034035,0.0001258974,0.8772217,0.00002448732,0.0003532216,0.0002377797,0.0004250406,0.001789108,0.0001814427,0.02279113,0.01497858,0.08166821],"study_design_scores_gemma":[0.0003592204,0.00006365286,0.8832151,0.00001918644,0.000007688217,0.00007404956,0.0001247871,0.001407119,0.00005646126,0.005295811,0.1091625,0.0002144294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4390969,0.0002174125,0.00004500359,0.001454699,0.004167971,0.0001654365,0.0001182963,0.00006410928,0.5546702],"genre_scores_gemma":[0.9726757,0.0001100114,0.0008012145,0.0008532309,0.0002328851,0.000002267747,0.0001796496,0.000003842197,0.02514114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5335789,"threshold_uncertainty_score":0.9921411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596790809734842,"score_gpt":0.2405285088577664,"score_spread":0.224560600760418,"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."}}