{"id":"W4391670302","doi":"","title":"Threat-based defence planning : implications for Canada","year":2021,"lang":"en","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nuclear Issues and Defense","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business; Chemistry; Environmental planning; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005930105,0.0007402308,0.0006398277,0.004118508,0.01323234,0.01255994,0.003052218,0.002507915,0.01082412],"category_scores_gemma":[0.02216003,0.0004284385,0.0008983496,0.01155295,0.00385995,0.003625476,0.003723783,0.003813932,0.0005566571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2589887,"about_ca_system_score_gemma":0.5600654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988179,"about_ca_topic_score_gemma":0.9991007,"domain_scores_codex":[0.9904205,0.001082781,0.0003409429,0.000350513,0.00408339,0.003721845],"domain_scores_gemma":[0.9821725,0.003078555,0.0004602882,0.0003273789,0.0112368,0.002724503],"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":[0.0001998321,0.000118432,0.01804713,0.001023525,0.00008416009,0.001085402,0.006106991,0.01500494,0.000382018,0.6024417,0.2370764,0.1184295],"study_design_scores_gemma":[0.0001126946,0.00009495994,0.03957724,0.003062466,0.0001651568,0.0003508196,0.06052245,0.0164887,0.0008474045,0.08594183,0.7924953,0.0003409882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05648665,0.02846362,0.002968452,0.4203019,0.001417835,0.0004391776,0.004894402,0.0002003292,0.4848276],"genre_scores_gemma":[0.7541959,0.07762662,0.01528641,0.02677509,0.0003519356,0.0002628697,0.003600604,0.0001617249,0.1217389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2589887,"threshold_uncertainty_score":0.8594681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348383953974943,"score_gpt":0.310085800185993,"score_spread":0.2666019606462435,"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."}}