{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009145907,0.0008167299,0.0006514852,0.003926056,0.008076862,0.01054182,0.00273458,0.004031882,0.1027312],"category_scores_gemma":[0.04733796,0.0008125098,0.0008354067,0.003141803,0.005506942,0.02032491,0.02113732,0.004321525,0.04176035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017675,"about_ca_system_score_gemma":0.005163279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477994,"about_ca_topic_score_gemma":0.003741112,"domain_scores_codex":[0.9912953,0.003123994,0.0004709831,0.001547714,0.002389343,0.001172624],"domain_scores_gemma":[0.9712794,0.009221927,0.002149452,0.006438427,0.006579858,0.004330932],"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":[0.0001295927,0.0002265963,0.009815566,0.0005533514,0.00009381141,0.001773646,0.0381171,0.0006722779,0.002434668,0.6153337,0.08118648,0.2496633],"study_design_scores_gemma":[0.00002412542,0.0001279541,0.001581648,0.0005750112,0.00004920511,0.0006708825,0.01462437,0.0006703567,0.001315566,0.1875331,0.7927815,0.00004628422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05581142,0.00157382,0.09153695,0.02130106,0.002211664,0.0005083056,0.0004819733,0.001634003,0.8249409],"genre_scores_gemma":[0.5944067,0.002300429,0.06741726,0.008403552,0.0006944915,0.0008209678,0.001087293,0.001097951,0.3237714],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1027312,"threshold_uncertainty_score":0.3436702,"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."}}