{"id":"W4385807045","doi":"10.3749/2300038","title":"Picture-Perfect Petrography: Affordable Thin-Section Scanning for Geoscientists in the Digital Era","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Mineralogy and Petrology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Citation; Section (typography); Petrography; Download; Library science; Archaeology; Geology; History; Geochemistry; Advertising; World Wide Web; Computer science; Business","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":[0.002856356,0.0007721658,0.0005321735,0.005355226,0.00221918,0.005406974,0.00231223,0.002022871,0.2472522],"category_scores_gemma":[0.008985709,0.001061282,0.0006497422,0.005982915,0.001282778,0.006739059,0.005872611,0.001404436,0.1022786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740501,"about_ca_system_score_gemma":0.005365421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0264934,"about_ca_topic_score_gemma":0.119732,"domain_scores_codex":[0.9982409,0.0001452393,0.00007724488,0.0001320309,0.00126028,0.0001442673],"domain_scores_gemma":[0.9922465,0.001259747,0.0002806177,0.001523541,0.003478221,0.001211466],"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":[0.00009465205,0.00002223634,0.001445626,0.0003408379,0.00001590897,0.0002890729,0.000407193,0.0005008958,0.002345772,0.005532406,0.7920183,0.1969871],"study_design_scores_gemma":[0.00002678901,0.0000129368,0.00190432,0.000179511,0.00001174719,0.0003244027,0.0006417681,0.0006517961,0.001068232,0.005576905,0.9895688,0.00003284526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01082195,0.009670201,0.1262134,0.02637418,0.005779941,0.0009295986,0.04267776,0.05757559,0.7199575],"genre_scores_gemma":[0.07448636,0.02225172,0.4146421,0.005050467,0.003563909,0.0007390266,0.03610436,0.02626072,0.4169013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9735066,"threshold_uncertainty_score":0.827141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270503461456597,"score_gpt":0.2194994096205905,"score_spread":0.2067943750060246,"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."}}