{"id":"W7002576159","doi":"","title":"MFJ - Sep 18, 2019","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Crop; Government (linguistics); Agency (philosophy)","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":["insufficient_payload"],"category_scores_codex":[0.0004883433,0.0004619563,0.0003465893,0.001042565,0.002210113,0.004001145,0.000589812,0.001723781,0.7808092],"category_scores_gemma":[0.002216176,0.0002415104,0.0003311081,0.0008195442,0.0003834265,0.001584019,0.001384153,0.001620268,0.6814668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737117,"about_ca_system_score_gemma":0.001858584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02971632,"about_ca_topic_score_gemma":0.1306632,"domain_scores_codex":[0.999644,0.00001573518,0.00001054644,0.0000429575,0.0001886199,0.00009797248],"domain_scores_gemma":[0.9992185,0.00004205496,0.00002258306,0.00004544178,0.0004101145,0.0002613308],"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":[0.00001707747,0.000008687318,0.0000805552,0.00001950542,6.588657e-7,0.00001449606,0.000008439572,0.000007254525,0.00005277465,0.000754252,0.989106,0.009930329],"study_design_scores_gemma":[0.000005396336,0.000006685456,0.0006412602,0.00003371401,6.052027e-7,0.00001024691,0.0000264567,0.00001342453,0.00003058916,0.0002034922,0.9990258,0.000002306863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004840831,0.000494695,0.0001453213,0.003703757,0.004743938,0.00007973272,0.0104176,0.0006845504,0.9792463],"genre_scores_gemma":[0.0007578942,0.0001249197,0.00004480503,0.0007191955,0.0002075969,0.00001347686,0.002106443,0.00009484105,0.9959307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2191908,"threshold_uncertainty_score":0.312649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006268930948351264,"score_gpt":0.1788818763076825,"score_spread":0.1726129453593312,"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."}}