{"id":"W7093528635","doi":"","title":"1,000 places to see in the United States &amp; Canada before you die","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Government (linguistics); Agency (philosophy); Field (mathematics); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003980596,0.0009629884,0.0005926077,0.001793439,0.004658876,0.003658438,0.001200819,0.002474031,0.7092794],"category_scores_gemma":[0.003140373,0.0007103907,0.0006340563,0.001978788,0.0007556868,0.001509294,0.002790907,0.002515753,0.6530002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004168413,"about_ca_system_score_gemma":0.01496477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4803983,"about_ca_topic_score_gemma":0.7862451,"domain_scores_codex":[0.9994198,0.00002255446,0.00001295413,0.00004094262,0.0003147671,0.0001889207],"domain_scores_gemma":[0.9972782,0.0001138827,0.0000665242,0.0001185966,0.001251118,0.001171728],"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":[0.000008815377,0.00001224466,0.0001186987,0.00001634654,7.639043e-7,0.00001170254,0.00001425198,0.00001527393,0.00002777777,0.0004047234,0.9927654,0.006604034],"study_design_scores_gemma":[0.000008908878,0.000006328545,0.001498212,0.00004078644,0.000001641408,0.000009238835,0.0000896198,0.00002576537,0.00004895404,0.0001150207,0.9981494,0.000006189106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006243171,0.0003101295,0.0001228361,0.001743442,0.0009973102,0.0001290398,0.01189291,0.0009311676,0.9832488],"genre_scores_gemma":[0.0005980439,0.0001331594,0.00004224056,0.0004063702,0.00005300554,0.00001983472,0.001439486,0.0001736674,0.9971342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7092794,"threshold_uncertainty_score":0.9552042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008056756254712366,"score_gpt":0.2028660474263017,"score_spread":0.1948092911715893,"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."}}