{"id":"W1789671654","doi":"","title":"Japanese Bombing in Beibei Chongqing and the Response of Soldiers and Civilians in Beibei During the Anti-Japanese War","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Order (exchange); Business; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003782115,0.0002702325,0.0002665752,0.0003835451,0.004169478,0.001105547,0.0004840737,0.0009580709,0.00359285],"category_scores_gemma":[0.0005242704,0.0002415863,0.0002631605,0.0005537896,0.0007416044,0.0008315365,0.001157653,0.0009263464,0.0001698658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004413953,"about_ca_system_score_gemma":0.005025626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4295882,"about_ca_topic_score_gemma":0.5970516,"domain_scores_codex":[0.9997621,0.00004259915,0.00000666765,0.00002460207,0.00003828002,0.0001257424],"domain_scores_gemma":[0.9998332,0.00001466727,0.00001730068,0.000006562711,0.00003737814,0.0000908588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001353484,0.001581061,0.5860304,0.0004731269,0.0003967547,0.02163874,0.1107899,0.08163473,0.01415255,0.05926278,0.06525009,0.05743642],"study_design_scores_gemma":[0.0002822157,0.0005014503,0.6178386,0.0002910409,0.0001788488,0.0005803936,0.1870506,0.09844542,0.001379606,0.01069805,0.08247026,0.0002836772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913544,0.0001628014,0.0002173968,0.001516183,0.00007501512,0.00002196073,0.00005407956,0.000005620417,0.006592453],"genre_scores_gemma":[0.9953541,0.0001852593,0.0001569107,0.0001722325,0.00001033988,0.00001489249,0.00005871014,0.000004166181,0.004043483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4295882,"threshold_uncertainty_score":0.8541754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231571131975069,"score_gpt":0.2350747755877859,"score_spread":0.2227590642680353,"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."}}