{"id":"W1515291405","doi":"","title":"Computers behind bars : Information technology in Canadian prison libraries","year":2001,"lang":"en","type":"article","venue":"E-LIS Repository (University of Naples Federico II)","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Prison; Relation (database); Focus (optics); Information technology; Political science; Library science; Public relations; Computer science; Law; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.00005461086,0.000133065,0.0002111454,0.0006782505,0.0004613207,0.00004564386,0.0003300391,0.0002407246,0.0001964582],"category_scores_gemma":[0.000006518977,0.0001711541,0.00006495569,0.0004648981,0.0001504961,0.0006585682,0.00009616315,0.0001664677,0.00006099479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400781,"about_ca_system_score_gemma":0.0001700858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1926456,"about_ca_topic_score_gemma":0.03673187,"domain_scores_codex":[0.9991307,0.00004276092,0.0001714512,0.0001997354,0.0001237998,0.0003315721],"domain_scores_gemma":[0.9993634,0.00001990308,0.0001419854,0.0002793738,0.00005430657,0.0001410001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001595795,0.0003122993,0.9512807,0.00001469757,0.0001246557,0.0008497075,0.02083676,0.0000359806,0.0001921856,0.002389971,0.005523468,0.01827996],"study_design_scores_gemma":[0.001644567,0.0003192332,0.8853399,0.0000414629,0.00005303257,0.0001587052,0.01407184,0.00007567018,0.0001865432,0.0001014236,0.09774699,0.0002606509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763581,0.0001139948,0.00014891,0.0006973536,0.0004663181,0.0001845115,0.00001088099,0.00009499523,0.02192497],"genre_scores_gemma":[0.9962808,0.00001300564,0.001129255,0.00003247203,0.00001350851,0.000001019021,0.00004238944,0.000007746383,0.002479733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559138,"threshold_uncertainty_score":0.9808453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941479959849959,"score_gpt":0.241397715801824,"score_spread":0.2219829162033244,"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."}}