{"id":"W2981924288","doi":"10.4095/304280","title":"Till geochemical data for the southern Core Zone, Quebec and Newfoundland and Labrador (NTS 23-P and 23-I): samples collected in 2015 and 2016","year":2017,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aqua regia; Geology; Geochemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007181927,0.0009645118,0.0005152159,0.005694146,0.001254421,0.001472479,0.001631157,0.000350543,0.1132973],"category_scores_gemma":[0.004576403,0.000530088,0.000386786,0.01088591,0.0003033844,0.0008104985,0.0007789507,0.0004551243,0.02810636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0155114,"about_ca_system_score_gemma":0.02727702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750667,"about_ca_topic_score_gemma":0.985292,"domain_scores_codex":[0.9989176,0.00002212777,0.00008058487,0.0001282264,0.0006249915,0.0002265047],"domain_scores_gemma":[0.9892761,0.0005581281,0.0006848388,0.0006162979,0.008326861,0.0005377925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001805084,0.00006441813,0.02433608,0.0003135673,0.0000339631,0.000103601,0.0002374173,0.0007646106,0.0007850491,0.0006836394,0.9423956,0.03010168],"study_design_scores_gemma":[0.000144904,0.00003811332,0.2898128,0.0002133114,0.00003213354,0.0001182515,0.0006900307,0.001221907,0.003638275,0.0001826008,0.7038304,0.00007732245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003073137,0.000016686,0.0001612557,0.0000570088,0.00001375635,0.00005610436,0.9896849,0.0002954667,0.006641547],"genre_scores_gemma":[0.00808649,0.00006898751,0.0007606251,0.00002842052,0.00000871854,0.0001226264,0.9677591,0.0002147198,0.02295047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1132973,"threshold_uncertainty_score":0.3790174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08011928674215349,"score_gpt":0.3067881189053577,"score_spread":0.2266688321632042,"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."}}