{"id":"W7035752119","doi":"","title":"Agenda & Supporting materials for 20 December 2006","year":2006,"lang":"en","type":"article","venue":"oURspace (University of Regina)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Artificial Intelligence and Technology Office; University of Regina","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Focus (optics); Context (archaeology); Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001657527,0.00007557257,0.0001587575,0.00001032769,0.0001533303,0.00000996722,0.000157362,0.00008778444,0.0001028919],"category_scores_gemma":[0.00001308882,0.00004047988,0.00008060884,0.00009011577,0.00007388425,0.00007435874,0.00004142999,0.00002673462,0.00002560808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000199426,"about_ca_system_score_gemma":0.000008148784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000226334,"about_ca_topic_score_gemma":0.005217741,"domain_scores_codex":[0.9994764,0.00002764741,0.00001346304,0.000171496,0.00007887348,0.0002320785],"domain_scores_gemma":[0.9996718,0.00005145996,0.0001256704,0.00003993974,0.00007655808,0.00003453134],"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":[0.00003844155,0.00001204437,0.001679367,0.000007659948,0.000005699196,0.000004485616,0.00000950996,0.00000187289,0.2911171,0.0005779078,0.7037677,0.002778258],"study_design_scores_gemma":[0.0001567053,0.0001109363,0.01260441,0.000007694081,0.00001325957,0.000003320053,0.0005779116,0.00001147154,0.004404861,0.00005009784,0.9819589,0.0001004881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7506579,0.00003070762,0.00005219202,0.2481253,0.00008215222,0.00009673864,0.00009801301,0.00002783519,0.0008291103],"genre_scores_gemma":[0.8570775,0.00003075818,0.001308006,0.00009624873,0.0003038936,5.699737e-7,0.0002068931,0.000001492412,0.1409746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2867122,"threshold_uncertainty_score":0.2911622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675310628038342,"score_gpt":0.2085950099768497,"score_spread":0.1918419036964663,"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."}}