{"id":"W4390242600","doi":"10.3168/jdsc.2023-0523","title":"Announcing the ADSA Loyalty Program and other developments","year":2023,"lang":"en","type":"article","venue":"JDS Communications","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loyalty; Business; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003803136,0.00007570734,0.00006470744,0.000006986486,0.0009019385,0.0001046566,0.0009056856,0.00004131009,0.00000636714],"category_scores_gemma":[0.00006270147,0.00002168654,0.00002319361,0.0007757958,0.000172063,0.00008421783,0.0004661842,0.0001241185,0.0001306329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000151228,"about_ca_system_score_gemma":0.000009024581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000245697,"about_ca_topic_score_gemma":0.00193195,"domain_scores_codex":[0.9992917,0.00008418291,0.0001232346,0.0001436801,0.0001605173,0.0001966893],"domain_scores_gemma":[0.9993267,0.0003202378,0.0000545702,0.0002004052,0.00004616798,0.00005191331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006558814,0.0002747433,0.3833911,0.000008707284,0.00004111104,0.000002016066,0.003152087,0.00001363031,0.01009145,0.01001538,0.04398035,0.5490229],"study_design_scores_gemma":[0.00002546877,0.00001957333,0.5473691,0.00001066486,0.00000337064,0.0000055104,0.0006976657,0.0003191552,0.00003397178,0.000431772,0.4510034,0.0000803198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761419,0.0002261398,0.0000011507,0.01406695,0.00004979979,0.0003943482,0.00005363247,0.0003440414,0.008722019],"genre_scores_gemma":[0.996794,0.0002456323,0.001125869,0.0007101105,0.00004517703,0.0001346064,0.0001072413,7.032506e-7,0.0008366339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5489426,"threshold_uncertainty_score":0.6937073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07752673190005788,"score_gpt":0.2891741310059771,"score_spread":0.2116473991059192,"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."}}