{"id":"W7066239573","doi":"","title":"German's Woollen Mill Ruins, Glen Morris ON Canada","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mill; George (robot); German; Fell; Section (typography); Industrial Revolution","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":[0.0001572081,0.0003837901,0.0002197924,0.000516056,0.01006246,0.002529736,0.0007077705,0.0006083912,0.109558],"category_scores_gemma":[0.0004287325,0.0002842959,0.0001202605,0.0008661341,0.001034945,0.0005997353,0.001288443,0.0008906094,0.01140698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01640957,"about_ca_system_score_gemma":0.03107843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9767007,"about_ca_topic_score_gemma":0.9968675,"domain_scores_codex":[0.9995881,0.0000139095,0.000005151504,0.00008106258,0.0001102201,0.0002016494],"domain_scores_gemma":[0.9994117,0.00001456106,0.00001367675,0.000009893891,0.0002391417,0.0003110103],"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":[0.0001259517,0.0001100289,0.01757265,0.0001324608,0.00001048763,0.002051309,0.004357398,0.000225552,0.001609603,0.0170446,0.863949,0.09281089],"study_design_scores_gemma":[0.000008950599,0.0000229711,0.01568997,0.00007472734,0.00000365367,0.0002203635,0.006468964,0.00006436299,0.0002345912,0.0002705739,0.9769215,0.00001929397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09146886,0.005109017,0.000480872,0.01347046,0.0009629191,0.0001403729,0.005224358,0.0002703969,0.8828727],"genre_scores_gemma":[0.0810006,0.001642517,0.0004653623,0.001922232,0.00002715399,0.00001918197,0.0009558857,0.00007779826,0.9138893],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.109558,"threshold_uncertainty_score":0.3665081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004534476386521935,"score_gpt":0.1652010436582766,"score_spread":0.1606665672717547,"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."}}