{"id":"W6949979941","doi":"10.5281/zenodo.4651420","title":"SEMAF: A Proposal for a Flexible Semantic Mapping Framework","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"European Commission","keywords":"Semantic mapping; Semantics (computer science); Semantic integration; Semantic data model; Publication; Semantic computing; Semantic Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08348232,0.001565988,0.001702939,0.009256606,0.005961592,0.01840426,0.008516093,0.008118835,0.008012457],"category_scores_gemma":[0.0485602,0.00232636,0.005205838,0.008910717,0.01065644,0.04286974,0.01592457,0.01038621,0.004675971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004735483,"about_ca_system_score_gemma":0.01671187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093613,"about_ca_topic_score_gemma":0.009552323,"domain_scores_codex":[0.9653889,0.0183015,0.004743592,0.003906773,0.005898641,0.001760536],"domain_scores_gemma":[0.9622359,0.01387172,0.001476446,0.01365955,0.006092956,0.002663568],"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":[0.00007500417,0.000113944,0.0005661415,0.0002714895,0.00006719484,0.0002183963,0.004196199,0.003061053,0.0009528737,0.9405659,0.007339195,0.04257268],"study_design_scores_gemma":[0.00006718466,0.00008960487,0.0002607603,0.0005157936,0.00009577009,0.0005933638,0.00279369,0.02559066,0.002768662,0.6724576,0.2946618,0.000105134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001517124,0.0001275843,0.9876521,0.002376599,0.0001574144,0.0003547332,0.0002993963,0.002209245,0.005305918],"genre_scores_gemma":[0.02228345,0.0002155063,0.97069,0.0005304563,0.00009802848,0.0007397134,0.001381696,0.0007972601,0.003263958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08348232,"threshold_uncertainty_score":0.441502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0888365080948319,"score_gpt":0.3128538489511881,"score_spread":0.2240173408563562,"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."}}