{"id":"W334243429","doi":"10.29173/iasl8195","title":"Our Patch vs. Their Patch: Information Technology and Literacy in Schools","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Literacy; Sociology; Information technology; Public relations; Pedagogy; Engineering ethics; Political science; Engineering","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":[0.002514843,0.0001184875,0.000305713,0.001540811,0.003652141,0.007005607,0.0003922197,0.001826057,0.005091469],"category_scores_gemma":[0.007572191,0.0001585801,0.0001839915,0.001649983,0.01495799,0.01068279,0.004909968,0.00264465,0.0002708946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089427,"about_ca_system_score_gemma":0.001780032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005407511,"about_ca_topic_score_gemma":0.01164698,"domain_scores_codex":[0.9976191,0.001560408,0.00006370898,0.0001278236,0.0002473726,0.0003814942],"domain_scores_gemma":[0.9957034,0.002499748,0.0005242518,0.0001815595,0.0003227497,0.000768288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001631,0.00008758299,0.03663604,0.0001506005,0.0000144293,0.0005295973,0.1852095,0.00009663465,0.0003530093,0.682239,0.02028947,0.07423102],"study_design_scores_gemma":[0.00004375076,0.0004302035,0.09950947,0.000761979,0.00003770509,0.0008629088,0.4858636,0.0005817457,0.000385718,0.2445739,0.1669044,0.00004459682],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4923591,0.02763408,0.003893802,0.2545301,0.001219784,0.00004706446,0.00005926214,0.00005474155,0.220202],"genre_scores_gemma":[0.9895465,0.002135402,0.0002874817,0.003482876,0.0002310829,0.0000115216,0.000004493058,0.00001464992,0.004286064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007005607,"threshold_uncertainty_score":0.01703262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192360442113321,"score_gpt":0.3079145950169287,"score_spread":0.2859909905957955,"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."}}