{"id":"W2023806445","doi":"10.1111/j.1564-913x.2015.00228.x","title":"Beyond the “rules of the game”","year":2015,"lang":"en","type":"article","venue":"International Labour Review","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Citation; Library science; Media studies; History; Sociology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066016,0.00004187505,0.00007321226,0.000001316237,0.0000379864,0.00001349421,0.0004158313,0.0000158943,0.0003512727],"category_scores_gemma":[0.00003900697,0.000004109333,0.00007814237,0.00006084275,0.00004465053,0.00003585321,0.00006409729,0.0000457479,0.00004234434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007759905,"about_ca_system_score_gemma":0.000007396072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125404,"about_ca_topic_score_gemma":0.00007952846,"domain_scores_codex":[0.9995226,0.00003011665,0.0001261065,0.0000575056,0.0002102859,0.00005338145],"domain_scores_gemma":[0.9997213,0.00002820478,0.00008051893,0.00004013192,0.0001069894,0.00002286114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001265748,0.000138206,0.005631541,0.0001299324,0.00009339883,0.000002757304,0.0001298091,0.000003106476,0.0013171,0.2701096,0.04425038,0.6781815],"study_design_scores_gemma":[0.00002843654,0.00001172891,0.02115905,0.0001627583,0.000005314233,0.000007733894,0.00000751989,0.000002305928,0.000111405,0.01178874,0.9666883,0.00002673361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6186649,0.05222739,0.000001315106,0.2799521,0.002397091,0.0005953594,0.0002244684,0.00003059953,0.04590675],"genre_scores_gemma":[0.9429438,0.02532403,0.00001972912,0.007174795,0.0006965047,0.00001392823,0.00003094485,7.123251e-7,0.02379552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9224379,"threshold_uncertainty_score":0.384619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662010715742716,"score_gpt":0.2517547765693283,"score_spread":0.2251346694119012,"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."}}