{"id":"W2605804216","doi":"","title":"Virtual Offices Provide Promising Opportunities","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internet privacy; Confidentiality; Productivity; Business; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004026492,0.0005369295,0.0003832516,0.0009561317,0.005835619,0.01593791,0.001993896,0.00466271,0.08687968],"category_scores_gemma":[0.008119546,0.0003502654,0.0006790148,0.0007608402,0.005782779,0.02330708,0.01390857,0.004538537,0.01592621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457615,"about_ca_system_score_gemma":0.003060565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008994177,"about_ca_topic_score_gemma":0.002754245,"domain_scores_codex":[0.9958805,0.002118369,0.00006669046,0.0003041131,0.0006511256,0.0009790993],"domain_scores_gemma":[0.9917354,0.003118998,0.000445357,0.0008679809,0.0006649213,0.003167402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009525406,0.0001842523,0.001024234,0.000272151,0.0000148492,0.0005647038,0.003265643,0.0003399517,0.0003428556,0.7379579,0.1261737,0.1297647],"study_design_scores_gemma":[0.00003107126,0.00008260366,0.000743137,0.0003641778,0.000008684883,0.000578667,0.006719564,0.0002847244,0.0002130274,0.1482471,0.8427017,0.00002568004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02114204,0.0172469,0.0262168,0.1487845,0.004473459,0.0001140822,0.0003133007,0.0009130504,0.780796],"genre_scores_gemma":[0.744211,0.02402271,0.0217257,0.02926156,0.006364728,0.0003455124,0.0004224668,0.0005493611,0.1730971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08687968,"threshold_uncertainty_score":0.2906414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547568530570347,"score_gpt":0.3172362958737733,"score_spread":0.2624794428167386,"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."}}