{"id":"W2097245267","doi":"10.1145/1146269.1146282","title":"Pass-thoughts","year":2005,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0016225,0.0009859453,0.0005133679,0.001160079,0.002830483,0.004590829,0.001559051,0.002267095,0.03350164],"category_scores_gemma":[0.007933745,0.0004997446,0.001307365,0.0005846692,0.00760664,0.01067395,0.004354451,0.002951121,0.01075242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020735,"about_ca_system_score_gemma":0.0009363689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007865087,"about_ca_topic_score_gemma":0.0007077351,"domain_scores_codex":[0.9978187,0.0006917164,0.0001336992,0.0005038245,0.0005965379,0.0002554644],"domain_scores_gemma":[0.9964065,0.000938714,0.0003186928,0.001276452,0.0006634829,0.0003960632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001509866,0.00002657523,0.0003709373,0.0001114671,0.00001963336,0.0001813445,0.001823956,0.0004857685,0.001388431,0.9429812,0.01084786,0.04161198],"study_design_scores_gemma":[0.00006202905,0.0001898705,0.0004553192,0.0001338114,0.0000654935,0.001240106,0.000910588,0.006944435,0.006382043,0.6532559,0.3302757,0.00008473726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01792591,0.00125511,0.629048,0.007052766,0.002257965,0.000373234,0.0003892202,0.00327723,0.3384206],"genre_scores_gemma":[0.5478173,0.001250453,0.2666456,0.004316437,0.001010611,0.000839956,0.0005559089,0.0009923886,0.1765713],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03350164,"threshold_uncertainty_score":0.1120742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058801785583053,"score_gpt":0.2325506797548506,"score_spread":0.2219626618990201,"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."}}