{"id":"W2969646841","doi":"10.4095/315008","title":"Database of Canadian titanium and vanadium occurrences","year":2019,"lang":"en","type":"report","venue":"","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Vanadium; Database; Titanium; World Wide Web; Computer science; Materials science; Metallurgy","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":[0.001012492,0.001352508,0.0007811955,0.03099284,0.003713535,0.002524456,0.002331961,0.0005783116,0.02004198],"category_scores_gemma":[0.00622568,0.0005119941,0.001046403,0.05372947,0.0004830106,0.0006034574,0.00130367,0.0006360997,0.007928001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02097926,"about_ca_system_score_gemma":0.1025124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929711,"about_ca_topic_score_gemma":0.9939128,"domain_scores_codex":[0.9977785,0.00006142515,0.00017508,0.0002708505,0.001299243,0.0004149207],"domain_scores_gemma":[0.9911533,0.000528375,0.0006808501,0.0003954784,0.006436509,0.0008055578],"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":[0.0005738791,0.00009154244,0.1198723,0.002545972,0.0002921325,0.0006072547,0.001367415,0.001613444,0.001096284,0.006646619,0.7859975,0.07929569],"study_design_scores_gemma":[0.00004563469,0.00002713106,0.3143072,0.0004254452,0.0001977952,0.0003728698,0.001754556,0.001146945,0.001515944,0.0004940966,0.6796192,0.00009316688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01421571,0.001083552,0.000367177,0.0001945598,0.00004089002,0.00008068923,0.9687882,0.0002238238,0.01500539],"genre_scores_gemma":[0.05679617,0.0036298,0.002525902,0.0001277522,0.00003732393,0.0002429448,0.9084387,0.0001227072,0.02807881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03099284,"threshold_uncertainty_score":0.1522158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129635991935572,"score_gpt":0.3470925759781961,"score_spread":0.2174565840426241,"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."}}