{"id":"W4300333364","doi":"10.1017/9781009270113.002","title":"Introduction","year":2022,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000668985,0.000817181,0.0004106179,0.001080419,0.002233814,0.006017295,0.001771646,0.002610005,0.3962287],"category_scores_gemma":[0.002060431,0.0002793217,0.0004124738,0.00123844,0.001482696,0.0047639,0.002769071,0.002485694,0.2377045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419651,"about_ca_system_score_gemma":0.002316846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003975597,"about_ca_topic_score_gemma":0.005683463,"domain_scores_codex":[0.9992177,0.0001003869,0.0000284384,0.0002040901,0.0003474118,0.0001018731],"domain_scores_gemma":[0.9993731,0.0001107453,0.00002893281,0.00009135043,0.0002754614,0.0001203696],"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":[0.00001796366,0.00003207436,0.0001818208,0.0001623591,0.000002393677,0.0001112488,0.0007302493,0.0001158347,0.0002027874,0.1754458,0.6988817,0.1241159],"study_design_scores_gemma":[9.190194e-7,0.000003574524,0.00006711792,0.00007484169,5.55574e-7,0.00006073705,0.00009950787,0.0000182632,0.00003487519,0.006592976,0.9930444,0.000002078605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004975287,0.003326087,0.002749292,0.004467234,0.002414919,0.00006670434,0.0008230463,0.0003418974,0.9853132],"genre_scores_gemma":[0.004537244,0.002976038,0.001658712,0.002284043,0.0006257295,0.00006410427,0.0009172024,0.000213407,0.9867235],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3962287,"threshold_uncertainty_score":0.8612065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846122756418782,"score_gpt":0.2365247569844176,"score_spread":0.2080635294202298,"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."}}