{"id":"W4214700232","doi":"10.1080/00085006.2009.11092632","title":"Collections Received","year":2009,"lang":"en","type":"article","venue":"Canadian Slavonic Papers","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000954951,0.0009698046,0.001623135,0.007014684,0.004008562,0.007620453,0.001868832,0.001187529,0.8475641],"category_scores_gemma":[0.004391626,0.0004727366,0.0007703688,0.006253838,0.0006799482,0.001496776,0.002802078,0.001643008,0.7194182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005116809,"about_ca_system_score_gemma":0.006843952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07117268,"about_ca_topic_score_gemma":0.1964025,"domain_scores_codex":[0.9988518,0.00006670559,0.00005087554,0.0001352542,0.0006977495,0.0001976646],"domain_scores_gemma":[0.99699,0.0001588762,0.00006058571,0.0003092124,0.00172172,0.0007596654],"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":[0.00002289797,0.000008966511,0.00006036102,0.00007159208,0.000002087431,0.00001612458,0.00002117391,0.00001919895,0.00005166572,0.001135832,0.9814331,0.01715696],"study_design_scores_gemma":[0.000005246342,0.000003155547,0.0003845436,0.00003609214,0.00000176999,0.000006531819,0.00003101262,0.000008040078,0.00003371686,0.0002512407,0.9992361,0.000002620072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005566614,0.001515544,0.0002026353,0.002411219,0.008838147,0.0002878305,0.02638242,0.0009627997,0.9588428],"genre_scores_gemma":[0.0005965799,0.0004713261,0.00009261443,0.0002100096,0.0003866811,0.00003167464,0.003705553,0.0002008014,0.9943047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1524359,"threshold_uncertainty_score":0.2174312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432511808910484,"score_gpt":0.1801983881903046,"score_spread":0.1558732701011997,"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."}}