{"id":"W4394420594","doi":"10.6084/m9.figshare.23740071.v2","title":"Principal Productive Mines of Canada","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Mining engineering; Environmental planning; Geography; Geology; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001604086,0.0001347234,0.0001952965,0.00004618936,0.00001152493,0.000007135725,0.0002434585,0.000113648,0.01362369],"category_scores_gemma":[0.0002209008,0.0001478163,0.00002949853,0.00006206784,0.000001586657,0.00001935651,0.00008758071,0.0001203186,0.0003283531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009379243,"about_ca_system_score_gemma":0.0001606392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02329061,"about_ca_topic_score_gemma":0.3149746,"domain_scores_codex":[0.9994915,0.000002524367,0.000158702,0.0001310727,0.00006428413,0.000151892],"domain_scores_gemma":[0.9995342,0.00002780488,0.00005362416,0.0003198896,0.00002990844,0.00003460918],"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":[4.867668e-7,0.000001346456,9.078202e-8,0.0008815174,0.00002277265,0.000008710383,0.000003817584,0.0004536006,4.053442e-7,1.190214e-7,0.9985902,0.00003688899],"study_design_scores_gemma":[0.00001593542,0.000006271728,0.00001864578,0.0006699091,0.000004673851,0.00000161465,0.000003396271,0.0001863223,0.0001597645,0.000002446902,0.9987854,0.0001455749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001115808,0.00005502369,2.077673e-8,0.00000490883,0.0002023678,0.0001215842,0.9992802,0.0001162771,0.0002084566],"genre_scores_gemma":[0.000004753522,0.00001048119,0.00003161457,0.000006368522,0.0001890859,0.0001194661,0.999379,0.00002907181,0.0002301559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.291684,"threshold_uncertainty_score":0.987278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312909420994511,"score_gpt":0.2166804005753973,"score_spread":0.1853894584759462,"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."}}