{"id":"W3147552323","doi":"10.29173/iasl7707","title":"They are never too young to develop research skills","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; Constructivism (international relations); Class (philosophy); Context (archaeology); Literacy; Pedagogy; 21st century skills; Mathematics education; Sociology; Psychology; Political science; Computer science; Geography; Politics","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":["scholarly_communication"],"category_scores_codex":[0.001779358,0.0001333993,0.0001724891,0.0001993991,0.001017102,0.001458988,0.0007532499,0.0001232874,0.0008397407],"category_scores_gemma":[0.003318975,0.0001214341,0.00003708447,0.002288894,0.0002320196,0.0161266,0.0003308408,0.0003093685,0.001046834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008986214,"about_ca_system_score_gemma":0.001538619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003636802,"about_ca_topic_score_gemma":0.00007396005,"domain_scores_codex":[0.9972861,0.00006619703,0.0003181049,0.0003837137,0.001201578,0.0007443036],"domain_scores_gemma":[0.9928548,0.00009822389,0.00009191158,0.0001208886,0.006433956,0.0004002254],"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":[0.000009401037,0.0000445068,0.03084904,0.00001700001,0.000005688094,0.000006701061,0.7845176,4.270409e-7,0.00009285329,0.1074938,0.07159034,0.005372584],"study_design_scores_gemma":[0.0001021472,0.00003791138,0.03904791,0.00008486334,0.000001796919,0.000005068869,0.4121699,0.00001409763,0.0009848239,0.005462015,0.541865,0.0002245343],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8209894,0.00002404015,0.00006173758,0.03263146,0.0003567032,0.0002933942,0.00002537028,0.0001319731,0.1454859],"genre_scores_gemma":[0.9510098,0.00005320697,0.001245302,0.00688585,0.0002978928,0.00003545201,0.000007732802,0.000008092657,0.04045666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4702746,"threshold_uncertainty_score":0.9997309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05938767165973186,"score_gpt":0.3654555575883981,"score_spread":0.3060678859286662,"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."}}