{"id":"W4327636800","doi":"10.1017/9781580466356.019","title":"Hlond Trophy Winners","year":2005,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trophy; Convention; Fishery; Art; Geography; Archaeology; Political science; Law; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001471843,0.001566223,0.0007473447,0.001824238,0.005135897,0.008975714,0.001411355,0.00294718,0.6338804],"category_scores_gemma":[0.004172104,0.0005070145,0.0008093755,0.00117586,0.0006056395,0.002867835,0.005283336,0.004643512,0.4318241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225252,"about_ca_system_score_gemma":0.003058041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008435204,"about_ca_topic_score_gemma":0.01855976,"domain_scores_codex":[0.9982029,0.0001749925,0.00005757771,0.0002401667,0.0007425916,0.0005816291],"domain_scores_gemma":[0.9978014,0.0001077381,0.00007036602,0.0001395042,0.0009333294,0.0009476092],"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":[0.00002940539,0.00001518351,0.00006638473,0.00002926657,0.000001350177,0.00004534693,0.00003616469,0.00001266562,0.00007621956,0.00228171,0.984817,0.01258947],"study_design_scores_gemma":[0.000003281611,0.000008099191,0.000174736,0.00002431813,6.403429e-7,0.00002213587,0.00009914592,0.00001362885,0.00003219927,0.0001929459,0.9994261,0.000002733351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001041571,0.002025132,0.0004680679,0.01162956,0.03966326,0.0002324372,0.001951859,0.0005574662,0.9424306],"genre_scores_gemma":[0.00194323,0.0004699609,0.0001479013,0.001262228,0.001582792,0.00005406218,0.0006687296,0.0001664416,0.9937046],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6338804,"threshold_uncertainty_score":0.5222251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487001900768774,"score_gpt":0.1863455506831146,"score_spread":0.1614755316754269,"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."}}