{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002469929,0.0002020355,0.0003469121,0.00005959897,0.0001078492,0.0000552019,0.0003182162,0.0002496164,0.00001654876],"category_scores_gemma":[0.0002686132,0.0002029876,0.0000533833,0.00004466514,0.00002113005,0.00009814312,0.0002768831,0.0002653808,0.000001159761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003902745,"about_ca_system_score_gemma":0.0002521923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006335262,"about_ca_topic_score_gemma":0.08813903,"domain_scores_codex":[0.9983052,0.00003948436,0.0005549513,0.0004052842,0.0005027018,0.0001923837],"domain_scores_gemma":[0.9989038,0.0001441058,0.000441655,0.0002082761,0.0001936229,0.0001085532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003090002,0.00004391986,0.002242723,0.0003237394,0.0001686922,0.000250042,0.001526484,0.0007559996,0.0568737,0.8867216,0.04348667,0.007575536],"study_design_scores_gemma":[0.001939187,0.0002548954,0.0180142,0.0005613421,0.00010552,0.00003064568,0.00007516741,0.01814907,0.007358973,0.2430419,0.7082675,0.00220164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003280791,0.0002056919,0.003605433,0.02893256,0.0005167183,0.0004802251,0.00003870702,0.0001014813,0.9628384],"genre_scores_gemma":[0.6343139,0.00001128752,0.0006982197,0.0004183789,0.0001527057,0.00001934398,0.00004938045,0.000006164657,0.3643306],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6647808,"threshold_uncertainty_score":0.9577064,"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."}}