{"id":"W6898967690","doi":"10.58052/ieaxw001y","title":"9072 Core Quarter Round Unknown>Rock bleached granite+green melt","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); Quarter (Canadian coin); Window (computing); Welding","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":[],"category_scores_codex":[0.0009510044,0.001017772,0.000792797,0.003015771,0.001256921,0.002129461,0.00159793,0.001006642,0.1828569],"category_scores_gemma":[0.002715821,0.0006611912,0.0006327755,0.002208228,0.0004696599,0.001442751,0.002362788,0.000694689,0.1483281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061128,"about_ca_system_score_gemma":0.002201956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02487394,"about_ca_topic_score_gemma":0.05713503,"domain_scores_codex":[0.9992511,0.00004306636,0.00004117478,0.000206783,0.0003455623,0.000112309],"domain_scores_gemma":[0.9985853,0.0001049036,0.0001380632,0.0004410067,0.0006017856,0.0001289337],"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":[0.0005857754,0.00006193499,0.00703476,0.0005352531,0.00003689821,0.0001865008,0.0002208264,0.001144624,0.005791845,0.004364305,0.897047,0.08299024],"study_design_scores_gemma":[0.00005144874,0.00001916579,0.007797227,0.0000701133,0.00002107543,0.0000867789,0.0001213602,0.001289968,0.007191546,0.002097193,0.9812244,0.00002977318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02344294,0.0004624142,0.0297762,0.0005661642,0.0005609901,0.0004962481,0.5456021,0.05285855,0.3462344],"genre_scores_gemma":[0.06847711,0.0003738794,0.04033528,0.0005154322,0.0001718102,0.0004633869,0.5951797,0.03595695,0.2585265],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8171431,"threshold_uncertainty_score":0.6117173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04545345955780564,"score_gpt":0.2934408557534829,"score_spread":0.2479873961956773,"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."}}