{"id":"W2994172693","doi":"10.1080/13614533.2019.1699838","title":"From Seed to Harvest: Growing the Macdonald Campus Seed Library","year":2019,"lang":"en","type":"article","venue":"New Review of Academic Librarianship","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Outreach; Enthusiasm; Academic library; Library science; Promotion (chess); Sociology; Political science; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004410426,0.0002676666,0.0005372796,0.00001216021,0.00009116121,0.00007989511,0.001331134,0.0002703242,0.001910449],"category_scores_gemma":[0.0002507302,0.00008088587,0.0002831592,0.0009318097,0.00004801945,0.001379793,0.0003133299,0.0006628418,0.0002659037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002089311,"about_ca_system_score_gemma":0.00008635042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003284507,"about_ca_topic_score_gemma":0.00000578317,"domain_scores_codex":[0.9977385,0.0003407637,0.0006293597,0.0005059536,0.000391168,0.0003942082],"domain_scores_gemma":[0.9983842,0.0008182118,0.0002304346,0.0002292025,0.00003657963,0.0003014004],"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":[0.0001230308,0.00006888033,0.4070104,0.001511902,0.0001032825,0.000007382475,0.0006935751,0.000002611116,0.05710319,0.008751852,0.4610351,0.06358878],"study_design_scores_gemma":[0.0001091708,0.0000795696,0.457635,0.001517474,0.00004047879,0.000003074395,0.000258626,0.000001665146,0.001451391,0.004411546,0.5342749,0.0002170734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890674,0.05414158,0.000002301075,0.1474831,0.0003425305,0.001608613,0.00008989564,0.0001587947,0.007105802],"genre_scores_gemma":[0.8087887,0.01555321,0.0006671246,0.1293741,0.005326178,0.00008673481,0.0006621408,0.00001475893,0.0395271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07323986,"threshold_uncertainty_score":0.9990019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558333166632382,"score_gpt":0.2188472074641549,"score_spread":0.2032638757978311,"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."}}