{"id":"W7096812397","doi":"","title":"Professional Papers Presented at the Annual Conference of","year":2016,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; School library; Resource (disambiguation); Key (lock); Data collection; Exploratory analysis","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":[0.001630869,0.000833112,0.0006285066,0.001617273,0.002613975,0.005210908,0.001195411,0.00186899,0.5634366],"category_scores_gemma":[0.00302133,0.0002395429,0.0004839932,0.001610719,0.0005891566,0.002044091,0.002593441,0.001509165,0.279005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894423,"about_ca_system_score_gemma":0.003447585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005677384,"about_ca_topic_score_gemma":0.01955111,"domain_scores_codex":[0.9990525,0.0001245642,0.00004957142,0.0001516749,0.0004243881,0.0001973821],"domain_scores_gemma":[0.9983233,0.0001111715,0.00005548816,0.0001307192,0.0007319084,0.000647434],"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":[0.00007802434,0.00004282681,0.0004107562,0.0001383114,0.000004414283,0.00008423194,0.0001560286,0.00003228772,0.0003189961,0.002005676,0.923811,0.07291754],"study_design_scores_gemma":[0.0000030093,0.000009580494,0.0004423138,0.00005717086,0.000001320831,0.00002253729,0.0001533042,0.00001312525,0.00004187447,0.0001718999,0.9990822,0.000001606623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004301691,0.0181575,0.0009635777,0.01957745,0.07850712,0.00026936,0.0022664,0.0002702637,0.8756866],"genre_scores_gemma":[0.003804198,0.003091033,0.0003066329,0.0008530986,0.002986666,0.0000365403,0.0007179721,0.00008639645,0.9881175],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4365634,"threshold_uncertainty_score":0.6227047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059030984715269,"score_gpt":0.3246840144539172,"score_spread":0.2840937046067645,"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."}}