{"id":"W6955351832","doi":"10.58052/ieaxw000x","title":"6624 Core Quarter Round Unknown>Rock Brown, monomict breccia","year":2016,"lang":"en","type":"other","venue":"System for Earth Sample Registration (SESAR)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Breccia; Window (computing); Quarter (Canadian coin); Central core disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001260394,0.001109867,0.001129164,0.003348252,0.001511524,0.002978102,0.001856159,0.001001753,0.478693],"category_scores_gemma":[0.005638008,0.0008755103,0.0006058617,0.002689932,0.0005372876,0.001907697,0.003012542,0.001066969,0.5406961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103654,"about_ca_system_score_gemma":0.002283032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905213,"about_ca_topic_score_gemma":0.03634569,"domain_scores_codex":[0.9991089,0.00007448333,0.000054851,0.0002606396,0.0003734393,0.000127767],"domain_scores_gemma":[0.9976416,0.000204248,0.0001468303,0.0008597029,0.0008774326,0.0002702184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001627636,0.00001759961,0.0007436766,0.0001482096,0.000009082616,0.00003742475,0.00007827723,0.0001543046,0.001294861,0.001924161,0.953788,0.0416415],"study_design_scores_gemma":[0.00003274054,0.00001168009,0.002456588,0.00005045141,0.000009219412,0.00004287938,0.0000566702,0.0003654392,0.001689227,0.001451153,0.9938175,0.0000163184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0051966,0.0004143495,0.02342461,0.0005783677,0.0005850223,0.0004397996,0.4661566,0.06973112,0.4334735],"genre_scores_gemma":[0.01569391,0.0002790193,0.02284657,0.000450315,0.0001859152,0.0005437447,0.4799107,0.03971893,0.4403709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.521307,"threshold_uncertainty_score":0.7435812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04055505089082252,"score_gpt":0.2860080496747323,"score_spread":0.2454529987839097,"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."}}