{"id":"W6995900775","doi":"","title":"Profile of census tracts in Lethbridge, Medicine Hat and Red Deer","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Aerial survey; 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":[0.0001337013,0.0002506079,0.0001602319,0.002916868,0.0003810333,0.0004177715,0.0004542144,0.0001652431,0.03297765],"category_scores_gemma":[0.0007757916,0.0002672424,0.0001415213,0.003741696,0.0001026182,0.0003403224,0.0004847719,0.0002095664,0.007969244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007082144,"about_ca_system_score_gemma":0.001745763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2258219,"about_ca_topic_score_gemma":0.5240977,"domain_scores_codex":[0.9998389,0.00002110699,0.00001794097,0.00003167223,0.00004996503,0.00004033608],"domain_scores_gemma":[0.9993213,0.0000572835,0.0001550139,0.00003477562,0.0002748895,0.0001567129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003162916,0.0001379058,0.631314,0.0004652059,0.00006652353,0.000427301,0.003109164,0.001061659,0.003640624,0.001454833,0.2934014,0.06460501],"study_design_scores_gemma":[0.000006481472,0.00002427771,0.9447551,0.00004017679,0.000007827323,0.0001067898,0.0009022328,0.0003796043,0.0002284689,0.00004560383,0.05349553,0.000007839231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3880659,0.0006209031,0.001084899,0.0002448938,0.00005184558,0.000330738,0.5513411,0.0003707552,0.057889],"genre_scores_gemma":[0.3327996,0.001253259,0.004296662,0.0001269045,0.00002881149,0.0004928586,0.4236866,0.0001301469,0.2371853],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7741781,"threshold_uncertainty_score":0.4490148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00841032517610864,"score_gpt":0.2039961718648164,"score_spread":0.1955858466887077,"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."}}