{"id":"W7098583091","doi":"","title":"The Next Chapter Toronto Public Library’s Strategic Plan 2004–20072 Table of Contents","year":2015,"lang":"en","type":"article","venue":"","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Table (database); Strategic planning; Plan (archaeology); Table of contents; Strategic management","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":[0.00009558499,0.00007408534,0.00008815648,0.000001369827,0.00008517562,0.00006620607,0.0003315679,0.00004241264,0.001070035],"category_scores_gemma":[0.00001752128,0.00002061685,0.0000247894,0.00007785283,0.0000643679,0.0002973919,0.00004467492,0.00004510795,0.00003432546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001132769,"about_ca_system_score_gemma":0.00001295327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006954455,"about_ca_topic_score_gemma":0.001092382,"domain_scores_codex":[0.9993618,0.00001160811,0.0001495285,0.000125682,0.0001696214,0.0001817509],"domain_scores_gemma":[0.9995575,0.00009034554,0.00006640462,0.00006717175,0.00005615644,0.0001624169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001192606,0.0002426575,0.006823521,0.00000905646,0.0000496963,0.000003106305,0.00008769233,0.000001344326,0.7796806,0.1012042,0.0911673,0.02061152],"study_design_scores_gemma":[0.0005554804,0.0004920365,0.01124999,0.00003045146,0.00001979679,0.00003633876,0.01252318,0.0002566944,0.04020645,0.0150846,0.9191278,0.0004171371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.644617,0.001008257,0.000001964173,0.005006427,0.00006216097,0.000189076,0.00005557655,0.00006311504,0.3489964],"genre_scores_gemma":[0.9944167,0.00006402955,0.00002379165,0.0001615377,0.0001243603,0.00001550493,0.00007761151,4.851751e-7,0.005116053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8279606,"threshold_uncertainty_score":0.9998431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1590636677055898,"score_gpt":0.2432015404951314,"score_spread":0.0841378727895416,"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."}}