{"id":"W7100712897","doi":"","title":"Contents","year":2014,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system; Identification (biology); Public information; Data bank; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001459937,0.0006864353,0.0007298444,0.002857412,0.002563852,0.006750267,0.0007545681,0.001699351,0.2889988],"category_scores_gemma":[0.003424233,0.0002946289,0.0004914684,0.001786238,0.001042061,0.001697775,0.001479783,0.002416419,0.09579669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01283829,"about_ca_system_score_gemma":0.01260495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1707396,"about_ca_topic_score_gemma":0.1415744,"domain_scores_codex":[0.9982777,0.0002667959,0.00004379448,0.0001439929,0.001023167,0.0002446247],"domain_scores_gemma":[0.9983104,0.0001825424,0.00004525567,0.0001155823,0.001079914,0.0002663686],"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":[0.00001744072,0.00001209631,0.0001339138,0.00009890425,0.000002802678,0.00001484726,0.00005037036,0.00007290169,0.0001300877,0.01226185,0.9541976,0.0330071],"study_design_scores_gemma":[0.000002704658,0.000003755708,0.0005264049,0.0001587461,0.000001457513,0.00001356777,0.00004592942,0.00003361339,0.00006148012,0.0008264068,0.9983217,0.000004177327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001335687,0.07783714,0.001345496,0.03564309,0.03686703,0.0002489099,0.006720842,0.00078489,0.8392169],"genre_scores_gemma":[0.01389644,0.03453644,0.0008862647,0.004177483,0.008275736,0.0001194891,0.003036503,0.0003778577,0.9346938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7110012,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682426220354773,"score_gpt":0.2925704891118359,"score_spread":0.2657462269082882,"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."}}