{"id":"W2495242534","doi":"10.29173/iasl7793","title":"Forging Strong Links","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":"Information literacy; Mindset; Underpinning; Curriculum; Literacy; Reading (process); Pedagogy; Macro; Computer science; Mathematics education; Sociology; Engineering; Psychology; Political science","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":[],"category_scores_codex":[0.0004023584,0.0001027033,0.0001241952,0.00007289104,0.0005991961,0.0008745667,0.000359559,0.0001404782,0.001179864],"category_scores_gemma":[0.0003549101,0.00009977198,0.00005429486,0.0005537037,0.0001931079,0.01482256,0.0001023712,0.0002697452,0.0001957058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003430956,"about_ca_system_score_gemma":0.0005843737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008142636,"about_ca_topic_score_gemma":0.000008528531,"domain_scores_codex":[0.9986306,0.00001514385,0.0002382961,0.0002273527,0.000464215,0.0004243821],"domain_scores_gemma":[0.9986367,0.00003388954,0.000101038,0.00006735921,0.000961604,0.0001994093],"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":[0.000005407061,0.00002514452,0.01197762,0.000021604,0.000006844979,0.000003888081,0.4935621,7.155765e-7,0.00007674458,0.4665029,0.009113791,0.01870324],"study_design_scores_gemma":[0.0001533925,0.000029807,0.002846413,0.00005574449,0.000004685899,0.000004661391,0.4002245,0.0003455158,0.0009559446,0.00620465,0.5889515,0.0002231858],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6699486,0.0000644549,0.0004302617,0.0140043,0.0004395584,0.0001393738,0.0000148441,0.0002239146,0.3147348],"genre_scores_gemma":[0.9822407,0.0000512713,0.0009837714,0.002549768,0.0003319048,0.000009479751,0.000009386791,0.000005216307,0.01381848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5798377,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975985575022183,"score_gpt":0.3001285948578198,"score_spread":0.270368739107598,"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."}}