{"id":"W2565837485","doi":"10.1002/pra2.2016.14505301054","title":"Needs assessment of ASIS&amp;T publications: Bridging information research and practice","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bridging (networking); Scope (computer science); Publishing; Library science; Scholarly communication; Sociology; Psychology; Political science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1051355,0.0003167191,0.0008703911,0.01534643,0.006440293,0.01815867,0.002313994,0.002432999,0.005701424],"category_scores_gemma":[0.220238,0.0005527131,0.0004858139,0.01426255,0.005577087,0.01587428,0.01109882,0.002507742,0.0006692228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00843772,"about_ca_system_score_gemma":0.02238383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176819,"about_ca_topic_score_gemma":0.002744385,"domain_scores_codex":[0.9050999,0.0627333,0.008175812,0.002141612,0.0185299,0.003319489],"domain_scores_gemma":[0.6300126,0.2427176,0.03295094,0.008482545,0.06062853,0.02520781],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001070115,0.000426217,0.09170932,0.003052047,0.00006951877,0.001180175,0.6655543,0.0002638025,0.0008154373,0.01866665,0.009645322,0.2085102],"study_design_scores_gemma":[0.00001501601,0.0001208508,0.02533671,0.001797932,0.00001701527,0.0003545785,0.9337913,0.0005101018,0.0002451275,0.007113943,0.03066012,0.0000373025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949739,0.00330543,0.004369206,0.05468353,0.0003119047,0.0005209089,0.0003349301,0.00007371998,0.04142653],"genre_scores_gemma":[0.991021,0.002265235,0.003520808,0.00120009,0.0001429306,0.0003422117,0.0001319917,0.00002195293,0.001353788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8948644,"threshold_uncertainty_score":0.5560166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08739287756149636,"score_gpt":0.410006752992,"score_spread":0.3226138754305036,"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."}}