{"id":"W7084148893","doi":"10.64628/aak.ekpeqhdgf","title":"Ne vous empêchez pas de rêvasser !","year":2019,"lang":"fr","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004626736,0.00009223105,0.0001020861,0.00002455531,0.0001925286,0.0002015224,0.0002839193,0.0001387512,0.01520154],"category_scores_gemma":[0.00002297634,0.00008389556,0.00006887173,0.0004308857,0.0002542004,0.001834976,0.00003009203,0.0001031456,0.006940813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005181866,"about_ca_system_score_gemma":0.0006014787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066853,"about_ca_topic_score_gemma":0.001170499,"domain_scores_codex":[0.998764,0.00012138,0.0001474458,0.000232124,0.0002947544,0.0004403198],"domain_scores_gemma":[0.9994923,0.00007551197,0.00005154729,0.0001567473,0.00002614952,0.0001977144],"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":[0.000006021583,0.0001282719,0.1747114,0.00002271662,0.00001158075,0.00001228984,0.008149724,0.00002329564,0.001163119,0.7517618,0.04871745,0.01529236],"study_design_scores_gemma":[0.0001395307,0.0001616736,0.02156976,0.00002237803,0.000009069514,0.000003410257,0.006598883,0.0005549173,0.001489299,0.01150308,0.9577439,0.0002041158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5282188,0.0002480614,0.00008836806,0.05891433,0.001505367,0.0001178237,0.000002038744,0.00004147848,0.4108637],"genre_scores_gemma":[0.5870677,0.0001033481,0.0005493243,0.003549162,0.0003512705,0.000001313792,0.000002033512,0.000003631562,0.4083723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9090264,"threshold_uncertainty_score":0.9938324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324291612634432,"score_gpt":0.2965431589672858,"score_spread":0.2641139977038426,"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."}}