{"id":"W6888975260","doi":"10.25318/3210035001-eng","title":"Average fleece weight","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Body weight; Contingency table; Statistical analysis","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":[0.0005896307,0.001327367,0.001012248,0.004109166,0.0005835818,0.002282676,0.001736339,0.0009205912,0.08541387],"category_scores_gemma":[0.00548839,0.0004191553,0.0008644534,0.01047993,0.0002907546,0.001580701,0.0007534504,0.001642788,0.08681648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003068113,"about_ca_system_score_gemma":0.002909904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2223575,"about_ca_topic_score_gemma":0.2643225,"domain_scores_codex":[0.9990733,0.0000772756,0.0001066844,0.0002530362,0.0003453543,0.0001442856],"domain_scores_gemma":[0.9961844,0.0005396711,0.0003415867,0.0006206576,0.00205793,0.0002558209],"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":[0.00004755936,0.00001724674,0.0025325,0.0001762314,0.00001842248,0.000007759181,0.00001191103,0.0002660705,0.00004775401,0.0004562038,0.9931479,0.003270344],"study_design_scores_gemma":[0.00009790879,0.00001433932,0.02199701,0.0001630932,0.00002107331,0.00003787749,0.0001180154,0.000574536,0.0002570101,0.0007135509,0.9759715,0.00003404856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000240772,0.00003393272,0.00003071328,0.00003699983,0.0000177282,0.000005163098,0.9982634,0.00009891004,0.001272394],"genre_scores_gemma":[0.0009579949,0.00005840299,0.0001515009,0.00002381311,0.000007181741,0.00002790856,0.9966419,0.00006181671,0.002069592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7776425,"threshold_uncertainty_score":0.4421265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006798910925928744,"score_gpt":0.2624430447009055,"score_spread":0.2556441337749767,"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."}}