{"id":"W6974074886","doi":"10.58052/ienic001f","title":"GPF-860.14 Core Quarter Round Igneous>Rock Rare-metal granite","year":2022,"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); Table (database)","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":[0.000720217,0.0008569725,0.0007004998,0.00290957,0.00105827,0.001321107,0.001898012,0.0008150677,0.184152],"category_scores_gemma":[0.001437651,0.0006173344,0.0005269842,0.002577914,0.0003172928,0.001084919,0.001392114,0.0007171855,0.1687433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065503,"about_ca_system_score_gemma":0.001652299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03536063,"about_ca_topic_score_gemma":0.07155748,"domain_scores_codex":[0.9995414,0.00002270677,0.00001376319,0.0001168043,0.000221522,0.0000837695],"domain_scores_gemma":[0.9991585,0.00006766365,0.00008148487,0.0001899119,0.0003801562,0.0001222995],"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":[0.0003656305,0.0000448192,0.003929036,0.0003085864,0.00002744447,0.00007257918,0.00009188851,0.0006512268,0.004096323,0.002340595,0.9529915,0.03508032],"study_design_scores_gemma":[0.00009494068,0.00002557825,0.01306006,0.00004724937,0.00001800776,0.00005637853,0.0000607501,0.0008226668,0.006605559,0.001145136,0.9780398,0.00002389406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009354401,0.0001653281,0.008924525,0.0002109623,0.0001404187,0.000251493,0.8038661,0.01545288,0.161634],"genre_scores_gemma":[0.0269451,0.000136124,0.01522723,0.0002880706,0.00008849794,0.0004670744,0.8262601,0.01473575,0.1158522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.815848,"threshold_uncertainty_score":0.6160498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512210175387737,"score_gpt":0.26716213235638,"score_spread":0.2320400306025027,"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."}}