{"id":"W2369564385","doi":"","title":"Seed Characteristics Analysis and Germination Condition Optimization of Ammopiptanthus nanus","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germination; Moisture; Horticulture; Agronomy; Biology; Animal science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001951407,0.0000451358,0.000114549,0.00002492626,0.0001033547,0.000007484163,0.000027816,0.00005512459,0.00004708507],"category_scores_gemma":[0.0000509838,0.00002065714,0.00002816855,0.0003819669,0.0000530707,0.00005656706,0.00001289752,0.00002616483,0.000001517916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006610469,"about_ca_system_score_gemma":0.000001783098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004875353,"about_ca_topic_score_gemma":0.000680537,"domain_scores_codex":[0.9995989,0.00002133314,0.0001575208,0.00009047394,0.00005838553,0.00007343565],"domain_scores_gemma":[0.9995948,0.000135186,0.0001202324,0.00001694525,0.0001140684,0.00001876654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002917596,0.00002843836,0.9519202,0.000003813006,0.00007002807,9.335713e-7,0.0001024623,0.00001689917,0.04350505,0.0002512857,0.000003382322,0.004068369],"study_design_scores_gemma":[0.00006104056,0.00004452367,0.9968951,0.000002251543,0.00007845784,7.010151e-7,0.0001891163,0.0007574972,0.001834624,0.00005426832,0.00003705794,0.00004531571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983392,0.00002222869,0.0008140071,0.0002845344,0.00004035516,0.00005821975,0.0000187219,0.00001751971,0.0004051667],"genre_scores_gemma":[0.9993687,0.00002822199,0.0001898618,0.00008832573,0.00002856937,0.000002065985,0.0001499285,2.081279e-7,0.0001441112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04497499,"threshold_uncertainty_score":0.08423737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193428467765256,"score_gpt":0.2293923961706023,"score_spread":0.2174581114929497,"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."}}