{"id":"W2982249504","doi":"10.4095/296624","title":"Targeted Geoscience Initiative 4: Contributions to the understanding of Precambrian lode gold deposits and implications for exploration","year":2015,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Lode; Precambrian; Earth science; Geology; Geochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002276005,0.0005338905,0.0003770959,0.002049243,0.00079948,0.001425962,0.0009079925,0.0008748874,0.004446006],"category_scores_gemma":[0.003003158,0.0002235896,0.0004464358,0.00192942,0.000692288,0.00164657,0.003863865,0.0008831772,0.0008573904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272269,"about_ca_system_score_gemma":0.006659499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06232328,"about_ca_topic_score_gemma":0.1521168,"domain_scores_codex":[0.9992464,0.0000996646,0.00002707229,0.00011933,0.0003843434,0.0001232611],"domain_scores_gemma":[0.9986023,0.0002434327,0.0001259905,0.0002234843,0.0005941942,0.0002106755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007526809,0.0005236006,0.132828,0.001129869,0.0002468375,0.001051859,0.004292368,0.008216545,0.04390734,0.06134943,0.178269,0.5674325],"study_design_scores_gemma":[0.00006549573,0.000292496,0.1699062,0.000305707,0.0001310614,0.0004642058,0.002681865,0.009050456,0.0450425,0.03567919,0.7362902,0.00009068268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5238542,0.01468334,0.08352549,0.0241744,0.0009402704,0.001139911,0.07168634,0.002910502,0.2770855],"genre_scores_gemma":[0.5781822,0.007038808,0.2426992,0.001945245,0.0002037775,0.0005305604,0.06070984,0.0006834564,0.1080068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06232328,"threshold_uncertainty_score":0.123921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593157314278018,"score_gpt":0.3381970784100928,"score_spread":0.178881346982291,"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."}}