{"id":"W6999037739","doi":"","title":"Buy low, sell high, get in now: Low-stakes/low-investment information literacy initiatives pay off big","year":2009,"lang":"en","type":"article","venue":"Digital Scholarship - UNLV (University of Nevada Reno)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Order (exchange); Information literacy; Investment (military); Value (mathematics); Literacy; Information technology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005409942,0.0002009074,0.0002639618,0.0004994376,0.0004791273,0.0008398849,0.0007523697,0.0001623371,0.0002199903],"category_scores_gemma":[0.0001940794,0.0002023839,0.0001148644,0.001312423,0.0003068264,0.09028908,0.0000997949,0.0003347347,0.0003400718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124718,"about_ca_system_score_gemma":0.0004138824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000251557,"about_ca_topic_score_gemma":0.00006370483,"domain_scores_codex":[0.9979262,0.0001434253,0.0004164546,0.0002372807,0.0008023469,0.00047432],"domain_scores_gemma":[0.9986846,0.0001223238,0.000376619,0.0002728043,0.000246731,0.000296924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004939035,0.001229992,0.04687846,0.0002189805,0.00007674623,0.00008925544,0.3333125,0.0003787034,0.000235886,0.1671339,0.002653349,0.4472983],"study_design_scores_gemma":[0.002728819,0.0004845514,0.4733249,0.0005730001,0.00001845424,0.000003282039,0.04478002,0.0004174726,0.000330402,0.01230092,0.4640532,0.0009850378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987973,0.00003752268,0.00009485053,0.002723274,0.0001761937,0.0003543322,0.000145317,0.00009872347,0.09757247],"genre_scores_gemma":[0.9952163,0.0001420295,0.0003065869,0.002658112,0.00005602829,4.646459e-7,0.0003216059,0.000004684988,0.001294256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4613998,"threshold_uncertainty_score":0.9224346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239603934302145,"score_gpt":0.2307487864359503,"score_spread":0.2183527470929288,"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."}}