{"id":"W4366981580","doi":"10.1080/00357529.2023.2126709","title":"<i>Mineral Identification Manual—Clues from Their Geologic Provenance</i> by George W. Robinson, Jeffrey R. Chiarenzelli, and Susan M. Robinson. Published as Mineralogical Association of Canada Educational Publication Volume 2. 198 pages; 2022; $55 from the Mineralogical Association of Canada, www.mineralogicalasso ciation.ca (spiralbound).","year":2023,"lang":"en","type":"article","venue":"Rocks & Minerals","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Provenance; Mineral; Archaeology; Geology; Identification (biology); Volume (thermodynamics); Library science; Geochemistry; History; Art history; Chemistry; Computer science; Biology; Physics; Botany; Thermodynamics","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":[0.0004671724,0.0008443837,0.0005942361,0.003981069,0.001803652,0.002200278,0.001232688,0.0007167947,0.3036333],"category_scores_gemma":[0.002258145,0.0007087428,0.0004199931,0.003203164,0.0006531501,0.002367866,0.00109988,0.001146731,0.3265913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338573,"about_ca_system_score_gemma":0.00323817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0728597,"about_ca_topic_score_gemma":0.196877,"domain_scores_codex":[0.9995149,0.00002248036,0.00002341814,0.00005594069,0.0003555683,0.00002762483],"domain_scores_gemma":[0.9987097,0.0001826974,0.00006955791,0.00009755074,0.0008345835,0.0001059861],"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":[0.000005892636,0.000003770366,0.0001014451,0.00004359461,7.204782e-7,0.00002653878,0.00004471534,0.00001286491,0.000425275,0.0003730527,0.9659666,0.0329955],"study_design_scores_gemma":[0.000002130329,0.000002232274,0.0007896777,0.00005819226,0.000001231101,0.00009714591,0.00007196203,0.00006233891,0.0003431347,0.0003597602,0.9982064,0.000005782584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002445967,0.008999528,0.03595404,0.0130953,0.009477336,0.0008149062,0.08027552,0.02905803,0.8198793],"genre_scores_gemma":[0.006550117,0.005304009,0.04398819,0.002844769,0.001085286,0.000197955,0.05484245,0.005965824,0.8792214],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9271403,"threshold_uncertainty_score":0.9932826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005789711004559079,"score_gpt":0.1949225588586612,"score_spread":0.1891328478541021,"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."}}