{"id":"W7005256122","doi":"","title":"Profile of census divisions and subdivisions in New Brunswick","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Population; Work (physics); Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009511167,0.0001834067,0.0003069008,0.00002009232,0.00003367281,0.00001134863,0.0002220472,0.0002432073,0.08166806],"category_scores_gemma":[0.00009382582,0.00009525884,0.00006183775,0.00002009054,0.0001042112,1.657546e-7,0.00007559898,0.0001734312,0.0004489155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002027722,"about_ca_system_score_gemma":0.00004728991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03160619,"about_ca_topic_score_gemma":0.01844713,"domain_scores_codex":[0.9989605,0.00002036436,0.0004338547,0.0001630659,0.0002393766,0.0001828403],"domain_scores_gemma":[0.9992256,0.0001510389,0.0003515018,0.00009670701,0.00004805496,0.0001271289],"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":[0.00001814744,0.00004684924,0.00003903071,0.0001190822,0.000008969388,0.000002762891,0.00002997165,0.000007736145,0.00007216281,0.00005524715,0.9959215,0.003678555],"study_design_scores_gemma":[0.0002281796,0.000082035,0.001531275,0.0004021784,0.00001652968,0.00002166635,0.00007084163,0.000002822553,0.00008564101,0.00003922707,0.9973646,0.0001549969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005085411,0.0002925478,5.572244e-8,0.0003348083,0.00003347051,0.0004103765,0.0003644266,0.0000472342,0.9934317],"genre_scores_gemma":[0.02015082,0.000266533,0.000316987,0.00004792277,0.00008970885,0.000006180066,0.0005136637,0.000005943505,0.9786022],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08121914,"threshold_uncertainty_score":0.9994637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00817253186498034,"score_gpt":0.1897908915298056,"score_spread":0.1816183596648252,"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."}}