{"id":"W7005296047","doi":"","title":"Profile of census tracts in Greater Sudbury, North Bay, Sault Ste. Marie and Thunder Bay","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thunder; Bay; Census; Population","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":[0.0001190521,0.0002491643,0.0002005076,0.002444791,0.0006158932,0.0004999142,0.00044366,0.0001390735,0.01935401],"category_scores_gemma":[0.001063627,0.0002496968,0.0001607112,0.003726618,0.0002338605,0.0003792536,0.0005565622,0.0002684508,0.002782336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015546,"about_ca_system_score_gemma":0.00310885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6925706,"about_ca_topic_score_gemma":0.8755151,"domain_scores_codex":[0.9998305,0.00001972052,0.00001842734,0.00003937837,0.00004851667,0.00004341469],"domain_scores_gemma":[0.999036,0.00007668716,0.0002466641,0.00003686456,0.0003721385,0.0002317009],"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":[0.0001878705,0.00006321614,0.8695496,0.0003941555,0.0000759542,0.0003280125,0.002889706,0.001121124,0.002484444,0.001329654,0.08961613,0.03196015],"study_design_scores_gemma":[0.000005086204,0.00001069273,0.9805492,0.00003972134,0.000005593421,0.00006476658,0.001017206,0.0002213067,0.0000857334,0.00003100879,0.01796286,0.000006917375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6210155,0.00113877,0.0008671699,0.0003552727,0.00004770635,0.0002457145,0.3466778,0.0002774789,0.0293745],"genre_scores_gemma":[0.7086584,0.002034369,0.003256849,0.0001057427,0.00002512497,0.0004703067,0.1928317,0.00008609558,0.09253146],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3074294,"threshold_uncertainty_score":0.6184798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006016393210212944,"score_gpt":0.1760535793121745,"score_spread":0.1700371861019616,"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."}}