{"id":"W7062015360","doi":"","title":"Small businesses are desperate and angry, and close to ruin","year":2020,"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":"Excuse; Thursday; Government (linguistics); Face (sociological concept); Symbol (formal); Joint (building); Legislature","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":[0.0003689039,0.0005417701,0.0002429038,0.0006608003,0.01093677,0.005912742,0.0005297609,0.001468677,0.1361853],"category_scores_gemma":[0.002037195,0.0003497979,0.0001732003,0.001556249,0.003722198,0.002091635,0.002050131,0.00123858,0.0458871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01119866,"about_ca_system_score_gemma":0.01418891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.679913,"about_ca_topic_score_gemma":0.9061326,"domain_scores_codex":[0.9991455,0.0000526502,0.00001071791,0.00005157895,0.0004255649,0.0003139182],"domain_scores_gemma":[0.9984792,0.0001265151,0.00007591639,0.00008695494,0.0006035008,0.0006279268],"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":[0.00001951359,0.00001312855,0.000974717,0.00005043766,0.000001460388,0.0001501526,0.001879584,0.00001641358,0.0005613323,0.003133232,0.9580374,0.03516258],"study_design_scores_gemma":[0.000002743839,0.000004662911,0.00187015,0.00002815839,0.00000127312,0.00005061646,0.004779124,0.0000136356,0.0001279595,0.0003923881,0.9927232,0.000006118085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01716965,0.002512985,0.0006259255,0.05871592,0.002364675,0.0000642447,0.0009545872,0.0008781758,0.9167137],"genre_scores_gemma":[0.02511713,0.001352766,0.0001728335,0.003568359,0.00009926391,0.00001106214,0.0002208647,0.0001345869,0.9693232],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.679913,"threshold_uncertainty_score":0.6439441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007021027881828172,"score_gpt":0.1687030022591259,"score_spread":0.1616819743772977,"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."}}