{"id":"W4393790549","doi":"10.5281/zenodo.5651624","title":"WageIndicator Collective Agreements Database Dataset with Full Texts and Selected Clauses","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"European Commission","keywords":"Computer science; Database; Information retrieval","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":[0.001653448,0.002126367,0.001068274,0.004111969,0.00140779,0.001948824,0.003089983,0.002328144,0.05467825],"category_scores_gemma":[0.007379533,0.0006399122,0.001103422,0.006734822,0.0006758709,0.001830322,0.00246377,0.002635777,0.09131398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790057,"about_ca_system_score_gemma":0.002753126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604018,"about_ca_topic_score_gemma":0.03080558,"domain_scores_codex":[0.9979977,0.0004142542,0.00031852,0.0004964874,0.0005715241,0.0002015399],"domain_scores_gemma":[0.9972979,0.0009089917,0.0002449643,0.0006007768,0.0007124413,0.0002349555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007771559,0.00005655326,0.0004621178,0.0007236905,0.00001467037,0.00007653962,0.00009342071,0.000476281,0.0003523604,0.001203215,0.9903019,0.006161667],"study_design_scores_gemma":[0.0001719116,0.00002769162,0.002728506,0.0001920118,0.00001381717,0.0001169294,0.0002677942,0.001168731,0.0007008146,0.001696149,0.9928856,0.00002997855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008021109,0.000142242,0.0004295749,0.0001689163,0.00006175502,0.00004957032,0.9949657,0.0008793525,0.002500742],"genre_scores_gemma":[0.0005472662,0.00004301012,0.0008415703,0.00003617483,0.000007112108,0.0001394905,0.9972669,0.00009056071,0.001027915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05467825,"threshold_uncertainty_score":0.182917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880031960796461,"score_gpt":0.2284037067566572,"score_spread":0.2096033871486926,"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."}}