{"id":"W1927276380","doi":"10.2139/ssrn.1024312","title":"Kauffman Firm Survey (KFS) - Baseline/First/Second/Third/Fourth Follow-Ups: Study Metadata Documentation","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Business; Documentation; Subsidiary; Profit (economics); Baseline (sea); Marketing; Finance; Economics; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.004561582,0.0007043825,0.0009025644,0.01540065,0.001082785,0.001521177,0.001914326,0.001530884,0.0585481],"category_scores_gemma":[0.0254521,0.0007075813,0.0007044892,0.01431984,0.0003406263,0.002235475,0.001486245,0.0008542092,0.03595979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002160907,"about_ca_system_score_gemma":0.007534426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05997471,"about_ca_topic_score_gemma":0.0848116,"domain_scores_codex":[0.9952391,0.0007554714,0.001341662,0.000570597,0.001526623,0.0005663861],"domain_scores_gemma":[0.9504528,0.009061164,0.01021091,0.007601758,0.02071918,0.00195406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007075404,0.0006452085,0.1439872,0.0007534235,0.00007032663,0.0001196398,0.0004519246,0.0001819655,0.0003272359,0.001084015,0.8097326,0.04193882],"study_design_scores_gemma":[0.0003331826,0.0003493353,0.6165729,0.000450741,0.0001127488,0.0001972698,0.001209541,0.0002540156,0.001084213,0.0005863631,0.3787772,0.0000723933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02603335,0.0003057979,0.0007615405,0.0006526632,0.0001103062,0.0015318,0.9558576,0.0003091038,0.01443793],"genre_scores_gemma":[0.04407359,0.0006927944,0.002177476,0.0004954244,0.0001839417,0.006941827,0.9037688,0.0002287325,0.04143747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05997471,"threshold_uncertainty_score":0.1958629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506152302572443,"score_gpt":0.2499018564822817,"score_spread":0.2248403334565573,"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."}}