{"id":"W7061763954","doi":"","title":"Schutz vor willkürlichen und diskriminierenden Entlassungen eine rechtsvergleichende Untersuchung zum Recht von Deutschland und British Columbia","year":2009,"lang":"de","type":"article","venue":"","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Relation (database); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007340421,0.0001957353,0.0002694928,0.00122726,0.003130986,0.002491782,0.0006397603,0.0008053611,0.00743879],"category_scores_gemma":[0.003652192,0.0001648492,0.00015639,0.001885085,0.001415177,0.0005688377,0.001158301,0.001419239,0.0007922578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01381023,"about_ca_system_score_gemma":0.01488455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9116833,"about_ca_topic_score_gemma":0.9176995,"domain_scores_codex":[0.998832,0.0001747833,0.00003647446,0.00008170542,0.0002868922,0.0005882268],"domain_scores_gemma":[0.9974923,0.000647527,0.0002341047,0.00009438996,0.0009680226,0.0005636065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001840357,0.001379711,0.8182012,0.0001292985,0.00009151993,0.003540293,0.02107055,0.002786576,0.002960074,0.006546477,0.01413132,0.1273226],"study_design_scores_gemma":[0.00009011704,0.0005634814,0.8622335,0.0001807118,0.00009530437,0.0005121986,0.09261483,0.003028501,0.002159862,0.002075336,0.03635975,0.00008647417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802092,0.0002675821,0.00007664302,0.0008767005,0.00001822175,0.00004069164,0.0003993816,0.000009030741,0.01810254],"genre_scores_gemma":[0.9894177,0.0002966154,0.00009480236,0.0002137152,0.000004994849,0.0000254926,0.0001463749,0.000004832013,0.009795463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08831668,"threshold_uncertainty_score":0.1776735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309872012403769,"score_gpt":0.2484078363760823,"score_spread":0.2353091162520446,"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."}}