{"id":"W7098318487","doi":"","title":"the Shortgrass Library System (SLS).","year":2016,"lang":"en","type":"article","venue":"","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Patience; National library; Information system; Extension (predicate logic)","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":[0.0006399159,0.0005250063,0.0002264303,0.00104026,0.003456084,0.004195658,0.0007394408,0.001214028,0.4287217],"category_scores_gemma":[0.001513759,0.0003139497,0.0002629554,0.001543125,0.0005780173,0.002649637,0.002659692,0.00117085,0.164497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003318169,"about_ca_system_score_gemma":0.009043534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08004228,"about_ca_topic_score_gemma":0.2848489,"domain_scores_codex":[0.9992886,0.00005607136,0.00003208113,0.00008477001,0.0004375602,0.0001010212],"domain_scores_gemma":[0.9977261,0.0001091201,0.00008251568,0.0001160951,0.000835663,0.001130396],"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":[0.00002761557,0.00002167372,0.0003834768,0.00005120992,0.000001279411,0.00004261535,0.00008446398,0.00001247837,0.0002897562,0.002350303,0.9192243,0.07751081],"study_design_scores_gemma":[0.000004137915,0.000008582622,0.0005270373,0.00001206455,9.626846e-7,0.00002598776,0.0001119186,0.00001907218,0.00008340483,0.0001962209,0.9990073,0.000003310442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004250935,0.003631043,0.001640712,0.01695708,0.004440357,0.0001609173,0.005372769,0.004987576,0.9585586],"genre_scores_gemma":[0.005530763,0.001091053,0.001046916,0.002041399,0.0001958791,0.00002468982,0.002587369,0.00027603,0.9872059],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5712783,"threshold_uncertainty_score":0.8148592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004637321556803144,"score_gpt":0.1706123545801472,"score_spread":0.165975033023344,"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."}}