{"id":"W1603695401","doi":"","title":"Conflicts Research on Overseas Forensics of Civil and Commercial Matters","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Political science; Convention; Law; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00333543,0.00006206268,0.0001167927,0.0001911946,0.002194755,0.0001270726,0.0004312679,0.00007055183,0.00007676995],"category_scores_gemma":[0.0006934216,0.00006615007,0.00002642639,0.0007908331,0.005600904,0.0002031018,0.00004630243,0.0001582698,0.00001877565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537111,"about_ca_system_score_gemma":0.000902555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2239905,"about_ca_topic_score_gemma":0.6046851,"domain_scores_codex":[0.9979638,0.0001816257,0.0001047011,0.0002374886,0.0008521608,0.0006601766],"domain_scores_gemma":[0.9987004,0.000268202,0.00003877249,0.000116092,0.0002781798,0.0005983484],"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":[0.000007312308,0.000005011715,0.002710884,0.000008263874,0.000001297877,0.00000261481,0.01394285,3.694866e-7,0.0001238299,0.9532492,0.01799431,0.01195411],"study_design_scores_gemma":[0.000118938,0.00008082503,0.02338155,0.00003884288,0.000005280228,4.473362e-7,0.01221253,0.00001727364,0.0001132016,0.00538493,0.9584947,0.0001515381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1382031,0.0000152413,0.00001569739,0.02047851,0.0003057336,0.0001797723,0.00001470918,0.00001417869,0.840773],"genre_scores_gemma":[0.9965875,0.000009757052,0.00002013642,0.002829062,0.0002526302,0.000002713285,4.652111e-7,0.0000042092,0.0002935712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9478642,"threshold_uncertainty_score":0.9991043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340191021821833,"score_gpt":0.4109650608676636,"score_spread":0.2769459586854803,"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."}}