{"id":"W3135570903","doi":"10.29173/iasl7895","title":"From one-to-one to one-to-many","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Practicum; Internship; Mindset; Field (mathematics); Power (physics); Pedagogy; Service (business); Psychology; Public relations; Sociology; Medical education; Computer science; Political science; Medicine; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005085851,0.0002179884,0.000331789,0.000224239,0.0005812467,0.001645544,0.001035392,0.0001473932,0.002705524],"category_scores_gemma":[0.001010954,0.0002347787,0.0000773301,0.001698201,0.0001351012,0.01015887,0.0004162026,0.0002316848,0.003536646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008454105,"about_ca_system_score_gemma":0.0006749016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101179,"about_ca_topic_score_gemma":0.0000625743,"domain_scores_codex":[0.9969829,0.00002963975,0.0004918398,0.000620531,0.001121488,0.0007536007],"domain_scores_gemma":[0.9970944,0.00007578199,0.0001273827,0.0001959925,0.001537561,0.0009688862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005247918,0.000129418,0.00367124,0.00002313515,0.00002332267,0.000002879466,0.880481,0.000002563077,0.002184805,0.06764476,0.02695671,0.01882769],"study_design_scores_gemma":[0.0003893446,0.0003090818,0.02158988,0.0003816196,0.00002219715,0.000001289496,0.2572363,0.00007892058,0.009489276,0.02295289,0.6866971,0.0008520508],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8392751,0.00002340939,0.001198109,0.04902438,0.0004760729,0.0005389659,0.0001426999,0.0002433281,0.109078],"genre_scores_gemma":[0.9568961,0.00002244299,0.006365143,0.02695193,0.0008679706,0.00006111397,0.00002550607,0.00001385872,0.008795956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6597404,"threshold_uncertainty_score":0.9993908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398152236896443,"score_gpt":0.30382402532358,"score_spread":0.2598425029546156,"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."}}