{"id":"W2384905974","doi":"","title":"Soft Information,Core Competitive Edge and Private Relationship Lending","year":2011,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Core (optical fiber); Quarter (Canadian coin); Competitive advantage; Quality (philosophy); Rationality; Rural area; Marketing; Geography; Telecommunications; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002157889,0.0001914705,0.0001672901,0.0003087994,0.0002795726,0.0003314445,0.0002014848,0.00008769151,0.0001486233],"category_scores_gemma":[0.0003481761,0.0001943753,0.00004557961,0.0004565364,0.0001246084,0.005715065,0.0002335445,0.0001859972,0.001142171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003119585,"about_ca_system_score_gemma":0.00001491089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582366,"about_ca_topic_score_gemma":0.00005332452,"domain_scores_codex":[0.9990231,0.000003885944,0.0003152902,0.000205796,0.0001570004,0.0002949133],"domain_scores_gemma":[0.9993368,0.00006152775,0.000253736,0.0001965748,0.0001335618,0.00001780279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001815821,0.0000217282,0.3529269,0.0001043381,0.00001013879,0.00000539479,0.0002702097,0.000001325436,0.00002195842,0.6420321,0.001639698,0.002948007],"study_design_scores_gemma":[0.0005636271,0.00002342697,0.8118063,0.0002013406,0.00003281121,0.00001084105,0.0004465504,0.0007313703,0.0001904427,0.03724214,0.1482628,0.0004883244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6156265,0.00005141941,0.003964563,0.0001646872,0.0003899447,0.000315264,0.00001167142,0.0002803418,0.3791956],"genre_scores_gemma":[0.9977206,0.00000501148,0.0006834188,0.0007215678,0.0002219521,0.00001983712,0.00006675858,0.00002223553,0.0005385917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.60479,"threshold_uncertainty_score":0.9996356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667993237772446,"score_gpt":0.2214534794709943,"score_spread":0.1747735470932698,"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."}}