{"id":"W7058304003","doi":"","title":"Natural molecular hydrogen in Saskatchewan, Canada.","year":2024,"lang":"en","type":"dissertation","venue":"Durham e-Theses (Durham University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precambrian; Basement; Hydrogen; Lithology; Natural (archaeology); Helium; Natural gas; Igneous rock","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":[],"consensus_categories":[],"category_scores_codex":[0.0002036531,0.0003314423,0.0001800714,0.00116363,0.001615177,0.001306696,0.0005949697,0.0002345559,0.006742671],"category_scores_gemma":[0.0005378192,0.0002507613,0.0003177171,0.004258809,0.0003761985,0.0004370994,0.0006214254,0.0003478271,0.0008612748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03099996,"about_ca_system_score_gemma":0.04878787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952657,"about_ca_topic_score_gemma":0.9981955,"domain_scores_codex":[0.9997913,0.000009409933,0.000009607568,0.00004044185,0.00009978451,0.00004943787],"domain_scores_gemma":[0.9994425,0.00003530895,0.00004327756,0.00003076361,0.0003893884,0.00005880665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003764355,0.00007729815,0.614921,0.0007977894,0.0003353058,0.001376135,0.002186889,0.01805304,0.01080273,0.01138702,0.07202443,0.2676619],"study_design_scores_gemma":[0.00004791809,0.00005156421,0.678388,0.0003438289,0.0001345629,0.0003293527,0.006251581,0.01463681,0.006673156,0.00222486,0.2907836,0.0001347915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6875502,0.005985165,0.006630708,0.003600902,0.0001182276,0.0003607757,0.1939139,0.0007448456,0.1010953],"genre_scores_gemma":[0.8783014,0.004769157,0.01036143,0.0007164908,0.00001000609,0.0001520688,0.0520351,0.0001450475,0.05350919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03099996,"threshold_uncertainty_score":0.2249215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002268540888682995,"score_gpt":0.1637430394099605,"score_spread":0.1614744985212775,"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."}}