{"id":"W2917743845","doi":"","title":"Geological characterisation guided by fuzzy k-means clustering of physical properties measured from core samples from the Victoria property, Sudbury Ontario","year":2018,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Core (optical fiber); Cluster analysis; Property (philosophy); Physical property; Geology; Materials science; Computer science; Artificial intelligence; Composite material","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002048859,0.0002456012,0.0002140883,0.002034232,0.001327407,0.0009971675,0.0005402762,0.0002310282,0.001143107],"category_scores_gemma":[0.0009302003,0.0001633605,0.0001895267,0.001815911,0.0005967072,0.0001639241,0.0004119829,0.0001557371,0.000246289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004868965,"about_ca_system_score_gemma":0.004378612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8637763,"about_ca_topic_score_gemma":0.9487529,"domain_scores_codex":[0.9997018,0.00001188314,0.00001727961,0.00008202095,0.0001282672,0.00005879442],"domain_scores_gemma":[0.9995463,0.00003343274,0.00004461388,0.00002515759,0.0003163042,0.00003413971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003820536,0.000126985,0.5925809,0.0002777869,0.00007791496,0.0006078099,0.008512436,0.02622433,0.1782091,0.001576165,0.002707,0.1887175],"study_design_scores_gemma":[0.000009770462,0.00003905882,0.9229822,0.00002435636,0.00001951806,0.00007336945,0.003186482,0.05563293,0.01384631,0.0002244893,0.003922101,0.00003946542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841102,0.00009568049,0.01001199,0.00004546121,0.000003830385,0.0001420032,0.00134052,0.00008898166,0.004161226],"genre_scores_gemma":[0.9748765,0.00007217192,0.01975859,0.00001301336,0.000002075417,0.00006300712,0.001470679,0.00001899301,0.003725063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362237,"threshold_uncertainty_score":0.2740518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241806447835901,"score_gpt":0.2038704634335264,"score_spread":0.1714523989551673,"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."}}