{"id":"W7038393444","doi":"","title":"Inside the new era of 'Buy Now, Pay Later'","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Feature (linguistics); Work (physics); Competition (biology)","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":[0.001451931,0.0005532738,0.0003033486,0.001154079,0.009031454,0.01272349,0.001096777,0.004582146,0.1702297],"category_scores_gemma":[0.005421639,0.0004519919,0.0003121387,0.001606894,0.006724632,0.01094315,0.004300509,0.00814463,0.07243538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00916805,"about_ca_system_score_gemma":0.01156962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.389274,"about_ca_topic_score_gemma":0.6603056,"domain_scores_codex":[0.9977012,0.000231712,0.00005022788,0.0001944008,0.001354956,0.0004675228],"domain_scores_gemma":[0.9969252,0.0004850525,0.00007862266,0.0002267233,0.001035833,0.00124855],"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":[0.000002272106,0.000003102514,0.00003793611,0.0000144913,3.379269e-7,0.00002550605,0.0004980253,0.000004904849,0.00003641401,0.01422563,0.9783736,0.006777758],"study_design_scores_gemma":[3.551972e-7,3.904327e-7,0.00006121527,0.00001299753,1.43175e-7,0.00001114486,0.0003286631,0.000003698368,0.000008088801,0.0004152459,0.9991564,0.000001735898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004790569,0.003306463,0.0007320736,0.1074458,0.01455275,0.00002698036,0.0003672506,0.0004082951,0.8726813],"genre_scores_gemma":[0.003408351,0.001397603,0.0003699262,0.01898456,0.001053735,0.00001294602,0.00007923012,0.0003088754,0.9743848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.389274,"threshold_uncertainty_score":0.7740164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019880568495807,"score_gpt":0.1562168707732062,"score_spread":0.1460180650882481,"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."}}