{"id":"W7100015977","doi":"","title":"RESEARCH AND DEVELOPMENT INVESTMENT EXPENDITURES IN CANADA’S NATURAL RESOURCES SECTOR 1","year":2013,"lang":"en","type":"article","venue":"","topic":"Historical Studies in Science","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural resource; Productivity; Investment (military); Context (archaeology); Public sector; CITES; Capital (architecture); Economic sector","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":[0.0001694994,0.00006431996,0.00008236607,0.0000629658,0.0004228365,0.00009493796,0.0001554931,0.000009047708,0.002693561],"category_scores_gemma":[0.00002724844,0.00004276053,0.000003884743,0.00002576897,0.0002778178,0.00009892924,0.00014719,0.0001381708,0.00005350846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008162305,"about_ca_system_score_gemma":0.0002393667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9488175,"about_ca_topic_score_gemma":0.9964904,"domain_scores_codex":[0.9989806,0.00003184034,0.0001342883,0.0001710093,0.0004023534,0.0002799461],"domain_scores_gemma":[0.9996574,0.0001221501,0.00001372408,0.00007875409,0.00005521869,0.00007276043],"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":[0.000005820698,0.0000480104,0.006349564,0.00002286769,0.00001414063,0.00001427294,0.1640886,0.000001457678,0.0000404049,0.07340056,0.7498812,0.006133031],"study_design_scores_gemma":[0.00005806477,0.00001398554,0.01331002,0.000006439554,1.491751e-7,3.101266e-7,0.02314322,0.00001074623,0.00005285124,0.0003607016,0.9629672,0.0000763119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7274544,0.0009089001,2.645487e-7,0.0008808261,0.000403131,0.0001763025,6.615705e-7,0.00001240863,0.2701631],"genre_scores_gemma":[0.9765353,0.000005954541,0.0001777721,0.0005970797,0.00008633261,0.00005303554,4.695414e-7,0.000003335249,0.02254077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2490808,"threshold_uncertainty_score":0.9982181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08675372134120415,"score_gpt":0.2646173279125672,"score_spread":0.177863606571363,"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."}}