{"id":"W4380233277","doi":"10.1515/9780773568501-026","title":"Membership in Clusters, based upon Measures of Similarity of Acreage Owned, Total Number of Transactions and Length of Time Held","year":2000,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Agricultural economics and policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Similarity (geometry); Statistics; Mathematics; Business; Computer science; Econometrics; Artificial intelligence","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":[0.001305001,0.0005920483,0.0005154315,0.004036,0.0006580098,0.00162742,0.0007521681,0.0004539053,0.1649117],"category_scores_gemma":[0.01441492,0.0002105208,0.0003351567,0.005360343,0.0003731656,0.001127849,0.0006292834,0.000613307,0.02702681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258923,"about_ca_system_score_gemma":0.001256752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01451188,"about_ca_topic_score_gemma":0.02313588,"domain_scores_codex":[0.9984345,0.0002562745,0.0001449588,0.0001903824,0.0008809156,0.00009301639],"domain_scores_gemma":[0.9911565,0.003178257,0.0005618989,0.000351568,0.00448407,0.0002676439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001468555,0.0001177953,0.04516586,0.0005672802,0.00007309486,0.00007818039,0.0007763305,0.002278056,0.000829056,0.01580922,0.8006356,0.1335226],"study_design_scores_gemma":[0.00009633254,0.0002429246,0.4562131,0.0005880578,0.00009385811,0.0004779714,0.003390671,0.01400919,0.002742599,0.03892268,0.4830808,0.0001416946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07123829,0.0009979927,0.04773294,0.001728364,0.001173332,0.003694272,0.4947195,0.002297787,0.3764175],"genre_scores_gemma":[0.2795341,0.001427264,0.1506501,0.0003271091,0.0003575209,0.003262328,0.274993,0.0008288131,0.2886198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1649117,"threshold_uncertainty_score":0.5516846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234951303677872,"score_gpt":0.2206726111052449,"score_spread":0.1983230980684662,"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."}}