{"id":"W1495211812","doi":"","title":"The Contribution of Geoscience to Canada's Innovation Strategy: Smart tools and human resources for vibrant resource and environmental industries","year":2002,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Business; Resource (disambiguation); Environmental resource management; Earth science; Knowledge management; Computer science; Environmental science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004815626,0.000103278,0.0001083074,0.00003258561,0.0008857462,0.0001655923,0.0005003608,0.00003524022,0.000003021895],"category_scores_gemma":[0.0004368977,0.00008185851,0.000006442229,0.0005038311,0.0002771223,0.0001618635,0.000183312,0.00008174745,4.197436e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010049,"about_ca_system_score_gemma":0.0003450241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6996945,"about_ca_topic_score_gemma":0.8960606,"domain_scores_codex":[0.9986838,0.00002614412,0.0002378562,0.0003451334,0.0003603141,0.0003468254],"domain_scores_gemma":[0.9992538,0.0001960969,0.0001295126,0.0002463437,0.00006957124,0.0001046764],"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":[0.00004985734,0.0001004256,0.06033653,0.0001075452,0.00003762314,0.00005012343,0.00260634,0.001567657,0.15008,0.1373583,0.04212152,0.6055841],"study_design_scores_gemma":[0.0004192537,0.0002396181,0.1171452,0.00004331795,0.000006126962,0.00004054172,0.001956252,0.01530974,0.01960894,0.000965012,0.8438517,0.0004143574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881135,0.0001239898,0.003887883,0.007221202,0.00007922055,0.0002599125,0.00007106248,0.000009646451,0.0002335763],"genre_scores_gemma":[0.9982228,0.000004497135,0.0001976742,0.0005299519,0.00001478877,0.00001587817,0.000005841797,0.000001069184,0.001007541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8017302,"threshold_uncertainty_score":0.6812533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156176093114684,"score_gpt":0.1901950360798088,"score_spread":0.1745774267683404,"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."}}