{"id":"W7063030277","doi":"","title":"Wellesley 1856 Gristmill Postcard, Wellesley Canada","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Term (time); Work (physics); Big data","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007700495,0.000490145,0.0004892797,0.0001100029,0.00005732253,0.00003054839,0.0004858237,0.0004994115,0.2045118],"category_scores_gemma":[0.00007504387,0.0004613857,0.0001180207,0.00001000574,0.0001139705,2.811008e-7,0.00009410632,0.0003023946,0.009824322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168722,"about_ca_system_score_gemma":0.00008592199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1140692,"about_ca_topic_score_gemma":0.2976507,"domain_scores_codex":[0.9982233,0.00002629259,0.0006664251,0.0002142183,0.0004506334,0.0004191278],"domain_scores_gemma":[0.998801,0.00007674879,0.0003017473,0.0005888531,0.0001123211,0.0001193212],"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":[0.00001077597,0.000005672293,6.328921e-7,0.000271863,0.00008283887,0.00001722845,0.00001656728,0.002717717,0.000002080816,0.00005808477,0.9945296,0.002286941],"study_design_scores_gemma":[0.0003452055,0.00003026944,0.000001155819,0.0001801483,0.00002600906,0.000033369,0.00005191096,0.00004039453,0.0002114907,0.000009525896,0.9985429,0.0005276018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008241975,0.001364075,0.00001515836,0.0002521741,0.001000038,0.0003709418,0.0005656006,0.001104416,0.9953194],"genre_scores_gemma":[0.0005664469,0.001498081,0.001391559,0.0002328248,0.0001889463,0.00002593601,0.0002150362,0.0002718692,0.9956093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1946875,"threshold_uncertainty_score":0.9997838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002753092068488189,"score_gpt":0.1585559506903677,"score_spread":0.1558028586218795,"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."}}