{"id":"W7001458663","doi":"","title":"Kiwiz: Mobile Car Inspection in Calgary","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Mobile device; Mobile phone; Mobile service; 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":[0.0004078913,0.000681186,0.0002587146,0.0009824206,0.002710575,0.002458207,0.001098534,0.002520632,0.3253256],"category_scores_gemma":[0.001171432,0.0006014033,0.0002404569,0.001202741,0.0005536848,0.001031882,0.002074963,0.002142906,0.1049502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003975699,"about_ca_system_score_gemma":0.007088815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5149031,"about_ca_topic_score_gemma":0.6884726,"domain_scores_codex":[0.9995465,0.00002939084,0.00001004841,0.00005909715,0.0001384417,0.0002165121],"domain_scores_gemma":[0.9990764,0.0000713078,0.0000314642,0.00003874569,0.0002965398,0.0004855663],"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":[0.0000344896,0.00003275349,0.001797633,0.00005212603,0.000001933213,0.000333066,0.0001196344,0.00007712506,0.0002256797,0.0002855341,0.9689772,0.02806286],"study_design_scores_gemma":[0.00002287133,0.00003093677,0.04616033,0.0001019358,0.000003143472,0.0001311897,0.001288148,0.00019441,0.0001613198,0.0001610382,0.9517263,0.00001828696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0182658,0.004810959,0.000629827,0.01832813,0.003862611,0.000525661,0.02798102,0.003244348,0.9223516],"genre_scores_gemma":[0.008892181,0.00070337,0.0002253667,0.001443479,0.0001285888,0.00003909503,0.004192085,0.0002793723,0.9840965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4850969,"threshold_uncertainty_score":0.9759075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078315362297182,"score_gpt":0.1711159064107787,"score_spread":0.1603327527878069,"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."}}