{"id":"W4404373414","doi":"10.3749/9780921294719.ch09","title":"FLUID INCLUSIONS IN MINERAL DEPOSIT EXPLORATION: IDENTIFICATION AND VECTORING","year":2020,"lang":"en","type":"book-chapter","venue":"Mineralogical Association of Canada eBooks","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; University of Alberta","funders":"","keywords":"Fluid inclusions; Identification (biology); Mineral; Geology; Geochemistry; Materials science; Metallurgy; Quartz; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004770024,0.0005161062,0.0004024421,0.001424457,0.0004379009,0.001782296,0.0009184981,0.0005968715,0.002742744],"category_scores_gemma":[0.0007062073,0.0003178089,0.0002796033,0.002455627,0.0009840276,0.001157035,0.0008459827,0.0003611266,0.001200562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242723,"about_ca_system_score_gemma":0.00193531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09719026,"about_ca_topic_score_gemma":0.1533101,"domain_scores_codex":[0.999712,0.00002428042,0.00001224652,0.0000419049,0.0001881312,0.00002128708],"domain_scores_gemma":[0.9998236,0.00005791751,0.00001149433,0.00001562623,0.00008342659,0.000008028518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008487284,0.00003554964,0.002673771,0.0003606679,0.00001985707,0.0001649762,0.0004428268,0.02696414,0.02877879,0.03550959,0.01423597,0.890729],"study_design_scores_gemma":[0.00001826107,0.0001395268,0.01653259,0.0003194264,0.00009101221,0.001399943,0.001704294,0.4364978,0.1032287,0.05819567,0.3817399,0.0001328086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04726179,0.02405931,0.8581762,0.001152872,0.0005786452,0.0002664019,0.001357295,0.001562163,0.06558544],"genre_scores_gemma":[0.2677775,0.023637,0.5367826,0.0001877157,0.000197817,0.0001255552,0.00124197,0.000371603,0.1696783],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09719026,"threshold_uncertainty_score":0.1932491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677399690998413,"score_gpt":0.1923214211716785,"score_spread":0.1755474242616944,"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."}}