{"id":"W7099861900","doi":"","title":"control for multilateral resistance","year":2007,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive model; Gravity equation; Set (abstract data type); Spatial econometrics; Control (management); Econometric model; Spatial variability","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":[0.00321846,0.000684838,0.0007661464,0.001230543,0.0006477837,0.002564248,0.001484647,0.0009417363,0.009530594],"category_scores_gemma":[0.01662721,0.0002736199,0.000687344,0.002517682,0.000973901,0.001707643,0.001756751,0.001685441,0.000490435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791113,"about_ca_system_score_gemma":0.002786133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05035846,"about_ca_topic_score_gemma":0.04135923,"domain_scores_codex":[0.9959946,0.001234797,0.0002011599,0.0009885805,0.0009305361,0.0006503646],"domain_scores_gemma":[0.9885129,0.00390436,0.004569727,0.001724683,0.0008397179,0.0004486314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002123423,0.0005119939,0.3922039,0.0002460363,0.001047779,0.0007077446,0.002434399,0.05551578,0.003039057,0.3668137,0.009511615,0.1677557],"study_design_scores_gemma":[0.0002887794,0.0005286589,0.3216885,0.0002215127,0.0009586058,0.0004210473,0.00277477,0.2991299,0.006610745,0.2388822,0.1282816,0.0002137731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7705181,0.001238426,0.1594408,0.005589127,0.0002340099,0.0002920747,0.002816343,0.0008167694,0.05905438],"genre_scores_gemma":[0.9876016,0.000148668,0.007152517,0.000188636,0.00004628318,0.0000652074,0.000521552,0.00002902438,0.004246561],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05035846,"threshold_uncertainty_score":0.1001307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250710731836044,"score_gpt":0.2606787806713722,"score_spread":0.2481716733530118,"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."}}