{"id":"W2910663135","doi":"10.5810/kentucky/9780813175287.003.0008","title":"Canada and RDX","year":2018,"lang":"en","type":"book-chapter","venue":"University Press of Kentucky eBooks","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Environmental science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154541,0.0008786726,0.0004841988,0.002332689,0.009242736,0.01279622,0.001633906,0.003486844,0.06316917],"category_scores_gemma":[0.00379834,0.0004758904,0.0005985224,0.005988329,0.006681256,0.004813625,0.003207117,0.004780539,0.009447023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09780826,"about_ca_system_score_gemma":0.118029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9326519,"about_ca_topic_score_gemma":0.9675987,"domain_scores_codex":[0.9957619,0.0003125432,0.00009621368,0.0004788813,0.002451114,0.0008992269],"domain_scores_gemma":[0.9980584,0.0002920251,0.0000608908,0.0001134829,0.001053926,0.0004213081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001316345,0.000008031391,0.0001578317,0.0001450241,0.000004416775,0.00009730082,0.001243982,0.0001298933,0.0001198905,0.5795621,0.3717784,0.04673998],"study_design_scores_gemma":[0.000001295831,0.000001321205,0.00009212112,0.00007895024,0.000001332583,0.00002162286,0.0001880599,0.00001674875,0.00002728252,0.004329617,0.9952371,0.000004564545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008929832,0.03582958,0.0009735727,0.03131489,0.002708869,0.00003452017,0.0003953377,0.0001578901,0.9276924],"genre_scores_gemma":[0.019244,0.02936861,0.001824373,0.01127462,0.0003541654,0.00004067454,0.0003949166,0.0002046203,0.937294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09780826,"threshold_uncertainty_score":0.7096519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07567578456355095,"score_gpt":0.2866517182260554,"score_spread":0.2109759336625044,"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."}}