{"id":"W1859064491","doi":"10.7910/dvn/mnw5lp","title":"The Catch-22 of External Validity in the Context of Constraints to Firm Growth","year":2018,"lang":"en","type":"dataset","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Context (archaeology); External validity; Business; Industrial organization; Economics; Econometrics; Microeconomics; Mathematics; Computer science; Statistics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01305684,0.0008862857,0.0009760286,0.005114096,0.001798908,0.005916605,0.003185909,0.002172601,0.02096007],"category_scores_gemma":[0.07040749,0.000481426,0.001126073,0.008727676,0.001847011,0.003609667,0.004479609,0.003230807,0.01135679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002612112,"about_ca_system_score_gemma":0.003204749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261554,"about_ca_topic_score_gemma":0.06302124,"domain_scores_codex":[0.9896238,0.004095573,0.001357652,0.002167774,0.001793508,0.0009616826],"domain_scores_gemma":[0.9582862,0.01985247,0.00715431,0.0101771,0.003614041,0.0009160469],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002565595,0.0001070954,0.1463932,0.001206949,0.0002500968,0.0002512654,0.0007354512,0.001584828,0.000208711,0.01857686,0.8126847,0.0177443],"study_design_scores_gemma":[0.0003798859,0.00005194027,0.1164614,0.001041147,0.0001550212,0.0004924136,0.001315272,0.003708002,0.0009901004,0.02658613,0.8487242,0.00009451393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03668591,0.002410559,0.007768046,0.008981582,0.0005953026,0.0002521954,0.9194706,0.001291602,0.02254426],"genre_scores_gemma":[0.07733903,0.0005227356,0.006077639,0.001783088,0.0001996943,0.001020457,0.9063917,0.0004086157,0.006257034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9869432,"threshold_uncertainty_score":0.07011837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07532181691107498,"score_gpt":0.3603065924702438,"score_spread":0.2849847755591688,"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."}}