{"id":"W2924146857","doi":"10.1007/978-3-030-01771-2","title":"Discovery Science","year":2018,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Région Normandie; Univerza v Ljubljani; Stockholms Universitet; Universita degli Studi di Bari Aldo Moro; Politechnika Poznańska; Università di Pisa; KU Leuven; Technische Universiteit Eindhoven; Universiteit Leiden; Università degli Studi di Torino; Indian Council of Agricultural Research; Universidade Federal do ABC; University of Cyprus; Imperial College London; University of Waikato; Middlesex University; University of Ottawa","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001795853,0.000962899,0.001340408,0.002754958,0.001084722,0.005212077,0.001773118,0.001761699,0.06334942],"category_scores_gemma":[0.00507798,0.0007260543,0.0008741769,0.002453531,0.002095169,0.005226456,0.0027369,0.003359922,0.04654229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633142,"about_ca_system_score_gemma":0.001765611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006052303,"about_ca_topic_score_gemma":0.000823824,"domain_scores_codex":[0.9984943,0.0002803435,0.00006529676,0.0003608852,0.0007266801,0.00007245643],"domain_scores_gemma":[0.9973474,0.001162029,0.00008186665,0.0009026678,0.0003763112,0.0001296869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001779633,0.00002663179,0.000156418,0.0004074816,0.00003397029,0.00005124262,0.0001000135,0.0007697084,0.000651496,0.5934415,0.2030244,0.2013194],"study_design_scores_gemma":[0.000006077113,0.000009012786,0.00009994057,0.00009414989,0.00001081504,0.0001156935,0.00002959192,0.001714182,0.0007012641,0.5162287,0.4809819,0.000008792677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001529878,0.02756467,0.3573294,0.01599809,0.004797783,0.0001537361,0.002526524,0.004066976,0.5860329],"genre_scores_gemma":[0.05404892,0.03510458,0.1419671,0.005583245,0.006413045,0.0004966019,0.006281591,0.002234782,0.7478701],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06334942,"threshold_uncertainty_score":0.211925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200184142978795,"score_gpt":0.4062131406377174,"score_spread":0.2861947263398378,"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."}}