{"id":"W7034025164","doi":"","title":"Strengthening Ontario's heritage : identify, protect, promote","year":2005,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"American Constitutional Law and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Process (computing)","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":[0.0007456466,0.0003339362,0.0001764538,0.001106394,0.01040138,0.004536263,0.0008393755,0.002435393,0.0701307],"category_scores_gemma":[0.002718613,0.0003486164,0.0002165164,0.001850367,0.001783992,0.001260639,0.002259979,0.001580278,0.004831457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03315778,"about_ca_system_score_gemma":0.1424322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803069,"about_ca_topic_score_gemma":0.9971898,"domain_scores_codex":[0.9986136,0.00006703005,0.00002127493,0.00004267684,0.0008644731,0.0003908238],"domain_scores_gemma":[0.9979488,0.0001758601,0.00009740245,0.0001182412,0.0008956194,0.00076415],"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":[0.00003249466,0.00005009728,0.007170187,0.0001813359,0.000009905823,0.0003354949,0.002846975,0.0001540586,0.0005164652,0.02016316,0.901722,0.06681786],"study_design_scores_gemma":[0.00001363144,0.000009464808,0.01322998,0.000105044,0.00001141867,0.00005070789,0.002710016,0.00007700035,0.0002923676,0.000995553,0.9824923,0.00001249492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02006416,0.002534216,0.0004029072,0.04270362,0.0004645797,0.0001712239,0.002819157,0.0001991585,0.930641],"genre_scores_gemma":[0.09152489,0.002775782,0.001021384,0.004655947,0.00009407003,0.0000592352,0.0007082704,0.0000735137,0.8990868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0701307,"threshold_uncertainty_score":0.2405776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139509121059233,"score_gpt":0.2220318989173788,"score_spread":0.2138923897963195,"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."}}