{"id":"W7100526933","doi":"","title":"Acknowledgements","year":2007,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Data bank; Central bank; Context (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.008846657,0.001019346,0.001964455,0.00674217,0.003514989,0.004801329,0.002562781,0.001853051,0.3376299],"category_scores_gemma":[0.06718741,0.0004525641,0.0007586667,0.009083192,0.0009650408,0.002250879,0.003007131,0.003120719,0.1044285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02668082,"about_ca_system_score_gemma":0.05599336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4947234,"about_ca_topic_score_gemma":0.4961291,"domain_scores_codex":[0.9864947,0.001354924,0.000856814,0.0009877357,0.008673823,0.001632035],"domain_scores_gemma":[0.852999,0.006177704,0.003193802,0.003144535,0.1243357,0.01014927],"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":[0.00004368663,0.000004896467,0.0004324077,0.00007535224,0.000003348156,0.00005965385,0.0001610187,0.00006942734,0.0000377931,0.002429605,0.9906644,0.0060186],"study_design_scores_gemma":[0.00004077328,0.000007716845,0.002546768,0.0002259647,0.00001401894,0.0001024921,0.0007062219,0.0002560423,0.0001088745,0.001562562,0.9944,0.00002852978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004836618,0.008292892,0.005661178,0.3407991,0.06924444,0.002643576,0.2855756,0.003419192,0.2795274],"genre_scores_gemma":[0.0600937,0.00734235,0.007607697,0.02787481,0.008744121,0.001994123,0.100008,0.001953807,0.7843815],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6623701,"threshold_uncertainty_score":0.9836876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423723608106407,"score_gpt":0.3369597521913005,"score_spread":0.3127225161102365,"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."}}