{"id":"W3148165356","doi":"10.29173/iasl7496","title":"To make every pupil stronger, a curriculum in information and documentation in every French CDI","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Documentation; Context (archaeology); Association (psychology); Pedagogy; Computer science; Convergence (economics); Mathematics education; Professional development; Sociology; Library science; Psychology; Programming language; History","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":[0.002768256,0.0004514733,0.0002541193,0.001329959,0.006610268,0.00706797,0.0006861829,0.002390874,0.03394292],"category_scores_gemma":[0.004953071,0.0002543583,0.000475877,0.0009573587,0.002620021,0.002869005,0.003047809,0.002711169,0.007012371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01273544,"about_ca_system_score_gemma":0.01659269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04019846,"about_ca_topic_score_gemma":0.05723591,"domain_scores_codex":[0.9979489,0.0008718183,0.00007091312,0.0002335508,0.0002870741,0.0005877601],"domain_scores_gemma":[0.9961203,0.0007052409,0.0001994077,0.000217117,0.0008383922,0.001919602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009882417,0.0005413071,0.009375091,0.0006781391,0.00001446681,0.0006768717,0.0684796,0.0006088372,0.006566205,0.2211627,0.280282,0.411516],"study_design_scores_gemma":[0.000006111137,0.00005961293,0.005782227,0.0001863684,0.000003943548,0.0001706911,0.00842317,0.0001113722,0.0008361902,0.002830685,0.9815755,0.00001411897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1077408,0.01245204,0.02942453,0.2180849,0.004853189,0.000411593,0.0006058114,0.002099096,0.6243281],"genre_scores_gemma":[0.4416861,0.005377984,0.02998379,0.01902841,0.00112369,0.000296564,0.0004340454,0.0005137491,0.5015556],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04019846,"threshold_uncertainty_score":0.1135504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286811480569098,"score_gpt":0.2750108292126681,"score_spread":0.2321427144069771,"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."}}