{"id":"W7097267555","doi":"","title":"Weak Instruments and Statistical Inference in Econometrics,” Canadian","year":2006,"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; Statistical analysis; Statistician","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":[0.07957297,0.001890043,0.00407874,0.004350308,0.003036599,0.007396692,0.003773217,0.006417318,0.003579807],"category_scores_gemma":[0.2807353,0.002813961,0.002480171,0.006522605,0.02340288,0.00915525,0.00372852,0.009072482,0.0005846602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006584932,"about_ca_system_score_gemma":0.01069526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07541889,"about_ca_topic_score_gemma":0.06577374,"domain_scores_codex":[0.9351912,0.05319529,0.002734485,0.003342515,0.004347326,0.001189197],"domain_scores_gemma":[0.6209518,0.3450218,0.006720325,0.01710109,0.009251888,0.0009531152],"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":[0.00004474851,0.00003308749,0.002292112,0.0003766709,0.0004313088,0.0001759485,0.0005300298,0.01087118,0.00008378383,0.9427279,0.01358587,0.02884737],"study_design_scores_gemma":[0.00003618655,0.00001370132,0.001242793,0.0001699311,0.0001076917,0.00004020549,0.00008671964,0.0295089,0.0001083022,0.9606373,0.008013491,0.00003471723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01029395,0.0445456,0.8805222,0.0468247,0.00352946,0.0001385184,0.0005017205,0.0003591104,0.01328474],"genre_scores_gemma":[0.519786,0.04089138,0.3982335,0.01071361,0.01289251,0.0006075542,0.0007705737,0.0003989993,0.01570576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07957297,"threshold_uncertainty_score":0.4208271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427690920793501,"score_gpt":0.203264571263929,"score_spread":0.178987662055994,"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."}}