{"id":"W4231420392","doi":"10.1080/14649055.2003.10765897","title":"Weed to achieve: a fundamental part of the public library mission?","year":2003,"lang":"en","type":"article","venue":"Library Collections Acquisitions and Technical Services","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Weed; Computer science; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006503704,0.0001413889,0.0001623601,0.00003232977,0.000986375,0.0002476146,0.0003053121,0.0001180636,0.002618138],"category_scores_gemma":[0.00001263549,0.00004896469,0.0001264516,0.002652121,0.0000876224,0.0006523296,0.000250111,0.0001370946,0.000004977661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157356,"about_ca_system_score_gemma":0.00002784255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004681537,"about_ca_topic_score_gemma":0.0001423578,"domain_scores_codex":[0.9989132,0.0001519279,0.0002610604,0.0002915135,0.0001475277,0.0002347337],"domain_scores_gemma":[0.9994444,0.0001366055,0.00006689561,0.0001281528,0.00002772624,0.0001962841],"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":[0.0003103204,0.005039918,0.1775127,0.0002250979,0.00019451,0.00001301065,0.0003435188,0.00001414035,0.172816,0.2123268,0.420167,0.01103702],"study_design_scores_gemma":[0.0001129263,0.0003104195,0.119508,0.00003196703,0.00001867234,0.00003251318,0.0007141222,0.000004764692,0.001559878,0.009211532,0.8683202,0.0001750464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334924,0.0003353869,0.000002369217,0.02545212,0.0001376751,0.0007844532,0.0002144269,0.000258147,0.03932298],"genre_scores_gemma":[0.9892254,0.00003266986,0.0003087928,0.001764322,0.00008403891,0.00008901388,0.00005246973,0.000002022076,0.008441237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4481532,"threshold_uncertainty_score":0.9982936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00654405526274783,"score_gpt":0.1830414783922992,"score_spread":0.1764974231295514,"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."}}