{"id":"W2517061221","doi":"10.21083/partnership.v11i1.3661","title":"What Do Health Libraries Tweet About? A Content Analysis","year":2016,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Web and Library Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Toronto","keywords":"Library science; Medical library; Content analysis; Political science; Sociology; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002445258,0.00008731925,0.0001731403,0.0008301569,0.0007327443,0.005925413,0.0006877157,0.00005461992,0.00007555621],"category_scores_gemma":[0.000229011,0.00004402904,0.00005435064,0.001132128,0.0002500129,0.1488298,0.0001273217,0.0003223303,0.0000123545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001273728,"about_ca_system_score_gemma":0.001698903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002747679,"about_ca_topic_score_gemma":0.0001298411,"domain_scores_codex":[0.9979715,0.0007426584,0.0004390872,0.00009669528,0.0003998352,0.0003501597],"domain_scores_gemma":[0.9972624,0.00126964,0.000348379,0.0002484537,0.000147879,0.0007232263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009658476,0.00001082969,0.006019515,0.00005110988,0.0002639624,0.00002021214,0.01746701,0.000007105165,0.000001863614,0.8867707,0.01091443,0.07837675],"study_design_scores_gemma":[0.0003461116,0.0002804206,0.01703179,0.000159474,0.00002422893,0.0001241136,0.01132552,0.0002554744,0.00008346252,0.005103564,0.9651645,0.0001013131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02242222,0.02251997,0.001228541,0.9420364,0.0002858494,0.0002306969,0.000008806354,0.00002104509,0.01124648],"genre_scores_gemma":[0.9592718,0.01868184,0.001216968,0.01985259,0.0001578288,0.000004316219,0.000004568546,0.000005211764,0.00080482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9542501,"threshold_uncertainty_score":0.9951065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09178970398247448,"score_gpt":0.3334987980372316,"score_spread":0.2417090940547572,"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."}}