{"id":"W7096202128","doi":"","title":"Identification, weak instruments and statistical inference in econometrics’, Canadian","year":2003,"lang":"en","type":"article","venue":"","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical inference; Natural (archaeology); Statistical model; Inference; Statistician; Statistical analysis","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":[0.04397068,0.0009855269,0.00252103,0.0027241,0.0023247,0.005303472,0.002271359,0.00410711,0.004065718],"category_scores_gemma":[0.1568455,0.001571735,0.001352268,0.005390731,0.01291653,0.00663302,0.002646361,0.004941883,0.0005127809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005097745,"about_ca_system_score_gemma":0.01042139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1040104,"about_ca_topic_score_gemma":0.09743308,"domain_scores_codex":[0.9743662,0.0195932,0.001358535,0.001772225,0.00220835,0.0007015308],"domain_scores_gemma":[0.8023477,0.180208,0.004434861,0.00593072,0.006508499,0.0005701536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006336721,0.00005807309,0.004980174,0.0005624163,0.0003985304,0.0002718053,0.001049264,0.01359154,0.0001452307,0.8839971,0.02769993,0.0671825],"study_design_scores_gemma":[0.0000357722,0.00001930336,0.003677715,0.0002163948,0.0001115806,0.00007624309,0.0002004463,0.04882969,0.000168876,0.930219,0.01639728,0.00004766237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01958463,0.07873921,0.8098531,0.06663707,0.003177,0.0001300663,0.0007279952,0.0003230702,0.02082781],"genre_scores_gemma":[0.6447129,0.0416604,0.2689746,0.00677792,0.007962379,0.0003203463,0.0008126328,0.0002905606,0.02848819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1040104,"threshold_uncertainty_score":0.2325419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095410252901015,"score_gpt":0.2200623897987957,"score_spread":0.1891082872697855,"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."}}