{"id":"W7052165222","doi":"","title":"A pilot project on interest-based negotiation within the Royal Canadian Mounted Police","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Negotiation; Work (physics); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01076369,0.0005097118,0.0003509339,0.001065533,0.01899161,0.005931159,0.002683872,0.002210728,0.01807896],"category_scores_gemma":[0.02441232,0.0004764276,0.0002938647,0.002107712,0.003616515,0.002740827,0.004371243,0.002859524,0.00211735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03206097,"about_ca_system_score_gemma":0.05996031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8126724,"about_ca_topic_score_gemma":0.8440065,"domain_scores_codex":[0.9905344,0.005337547,0.0001508179,0.0005387671,0.001546781,0.001891772],"domain_scores_gemma":[0.9771624,0.0104989,0.0005812473,0.001200518,0.004969474,0.005587426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003831235,0.008502578,0.02077698,0.0005295473,0.00005963956,0.002688658,0.5577617,0.005613735,0.006974922,0.06388328,0.06250776,0.2668701],"study_design_scores_gemma":[0.0009061566,0.001662196,0.0290562,0.0001678829,0.00006900013,0.0002345891,0.6670627,0.006115773,0.005269417,0.005052912,0.2842737,0.0001295506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7214858,0.0002637404,0.009585248,0.005771219,0.0001766094,0.003988896,0.0005032175,0.0002916777,0.2579336],"genre_scores_gemma":[0.8849393,0.0002294197,0.008362413,0.0007893223,0.00002831298,0.001282122,0.0003457898,0.00009055266,0.1039328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873276,"threshold_uncertainty_score":0.3768615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004966076814673669,"score_gpt":0.1513178562756045,"score_spread":0.1463517794609308,"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."}}