{"id":"W7009439351","doi":"","title":"Episode 4: Written employment agreements - benefits and pitfalls to avoid","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Educational Methods and Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labour law; Legislation; Employment contract; Job loss; Employment discrimination; Common law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004126354,0.0002319585,0.0003244198,0.00007239378,0.0001475685,0.00009085656,0.000287397,0.0002376871,0.184491],"category_scores_gemma":[0.0005102248,0.0002365237,0.00007351627,0.00001430901,0.0001160574,3.379061e-7,0.00009764263,0.0001572253,0.005305871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006678749,"about_ca_system_score_gemma":0.0000740994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445832,"about_ca_topic_score_gemma":0.009466207,"domain_scores_codex":[0.9983235,0.0001561765,0.000418962,0.0002062834,0.0005793227,0.0003157287],"domain_scores_gemma":[0.9988433,0.0001487759,0.0003239961,0.0001804372,0.0001056718,0.0003978873],"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":[0.00001825454,0.00002947186,0.00002693212,0.0001155735,0.00003946658,0.000001669405,0.002037076,0.0000139683,2.124354e-7,0.0003623054,0.9890789,0.00827622],"study_design_scores_gemma":[0.0001857295,0.0001216612,0.0001351466,0.0002809935,0.00003043453,0.000002678222,0.0006760207,5.928175e-7,0.000002945812,0.00003112144,0.9982756,0.0002570694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001290347,0.0005753391,6.632441e-7,0.004202291,0.0003424642,0.0005980003,0.0001410451,0.00008197458,0.9939292],"genre_scores_gemma":[0.0002597622,0.0008646715,0.007079062,0.002032732,0.0003955541,0.00001969231,0.0000493185,0.00006531111,0.9892339],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1791851,"threshold_uncertainty_score":0.9954686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881291356677533,"score_gpt":0.2606187904980928,"score_spread":0.2418058769313175,"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."}}