{"id":"W626618275","doi":"","title":"All Things Big and Small","year":2012,"lang":"en","type":"article","venue":"Progressive railroading","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bookkeeping; Service (business); Work (physics); Mile; Quarter (Canadian coin); Class (philosophy); Transport engineering; Line (geometry); Business; Telecommunications; Engineering; Advertising; Computer science; Marketing; Finance; History; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589051,0.0001515319,0.0001606068,0.0001398945,0.000148475,0.0002173992,0.0001196705,0.00005332007,0.00008187452],"category_scores_gemma":[0.00003030843,0.0001364416,0.00004651361,0.00009434874,0.00006832732,0.001401244,0.00009058525,0.00009737946,0.0001852366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001455544,"about_ca_system_score_gemma":0.000004364391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001883614,"about_ca_topic_score_gemma":0.00001214591,"domain_scores_codex":[0.9991328,0.000002720754,0.0001648259,0.0001620227,0.0000609644,0.0004767165],"domain_scores_gemma":[0.9996805,0.00002011619,0.0001391011,0.0001019875,0.00002790107,0.00003035293],"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":[0.00002257411,0.00006068398,0.8948982,0.0001984159,0.00007469483,0.000007802713,0.001517054,0.000001616694,0.000507203,0.03426219,0.001363658,0.06708587],"study_design_scores_gemma":[0.0008459078,0.000007353256,0.2361297,0.0001335701,0.0001512057,0.00002068362,0.0006360537,0.0006428183,0.0004163833,0.003002789,0.7573335,0.0006800678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679769,0.001606408,0.00006993062,0.0009533368,0.0005374409,0.0001511383,8.230709e-7,0.0001786166,0.0285254],"genre_scores_gemma":[0.9941539,0.00001649239,0.0003270719,0.002982501,0.002279697,0.00002320323,0.0000106014,0.00002534549,0.0001811505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7559698,"threshold_uncertainty_score":0.5563926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844113905375608,"score_gpt":0.2300924268154479,"score_spread":0.1916512877616919,"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."}}