{"id":"W2564529081","doi":"","title":"Little Free Libraries take communities by storm","year":2016,"lang":"en","type":"article","venue":"YA Hotline","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Storm; Sociology; Library science; Computer science; Geography; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.003438522,0.0004143408,0.0004098444,0.002286048,0.02491321,0.01651172,0.001477491,0.004491415,0.05829904],"category_scores_gemma":[0.009237371,0.0005004167,0.0005062572,0.001566,0.01309628,0.01257123,0.02446422,0.006203323,0.01354392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009858603,"about_ca_system_score_gemma":0.009925387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0433657,"about_ca_topic_score_gemma":0.08854004,"domain_scores_codex":[0.9961352,0.001256544,0.00006612115,0.0003625418,0.001143525,0.001036005],"domain_scores_gemma":[0.992,0.001322079,0.0004443639,0.0006955543,0.001241339,0.004296636],"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":[0.0001082277,0.00009748196,0.00192032,0.0001574804,0.00001943908,0.0003907453,0.04002364,0.0001745839,0.0005832881,0.3322643,0.5042778,0.1199827],"study_design_scores_gemma":[0.000009969175,0.00001599727,0.0004259243,0.00004667958,0.000002249481,0.000035948,0.006508381,0.00004444675,0.0001153054,0.01012578,0.9826548,0.00001449493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04622384,0.004889662,0.009025153,0.2200721,0.004831878,0.000203318,0.000280796,0.001639947,0.7128333],"genre_scores_gemma":[0.2797919,0.001613969,0.003009935,0.05798388,0.001552633,0.0002017558,0.0001335895,0.0009755432,0.6547368],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05829904,"threshold_uncertainty_score":0.1950297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690046715112015,"score_gpt":0.276180034709384,"score_spread":0.2392795675582638,"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."}}