{"id":"W2793573443","doi":"10.11575/prism/30643","title":"Artifacts as Instant Messenger Buddies","year":2008,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Instant; Second messenger system; Computer science; Biology; Food science; Cell biology; Signal transduction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005202565,0.00008378908,0.0001289142,0.0002092923,0.0002030247,0.0001281002,0.0003399747,0.00002831973,0.009377195],"category_scores_gemma":[0.0003047359,0.00005300243,0.00006894194,0.0004049369,0.00007133068,0.0009384991,0.0001003465,0.00005298973,0.014485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001218039,"about_ca_system_score_gemma":0.00003086427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001973792,"about_ca_topic_score_gemma":0.00001590988,"domain_scores_codex":[0.9982289,0.00002529597,0.0003587339,0.0001619195,0.001061291,0.0001638294],"domain_scores_gemma":[0.9992589,0.0001374466,0.00008158103,0.0002805867,0.0001567881,0.00008473302],"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":[0.00006895566,0.0001678789,0.04753061,0.000003902042,0.0000338645,0.0001527574,0.005483958,0.00007344299,0.001739779,0.104779,0.8008174,0.03914847],"study_design_scores_gemma":[0.0002153391,0.00003267512,0.1441239,0.000002274952,0.00000480091,0.0000192075,0.002227676,0.000334764,0.001665868,0.002655638,0.8485582,0.0001597003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6905652,0.00001785861,0.0002573768,0.001433093,0.0001060397,0.00006059009,0.000001258804,0.00006315173,0.3074954],"genre_scores_gemma":[0.9001155,0.00002415638,0.0005324385,0.001767626,0.00002024534,0.000005172608,0.000001787363,0.000003032449,0.09753005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2099654,"threshold_uncertainty_score":0.9915284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4898447169992889,"score_gpt":0.4661963351478713,"score_spread":0.0236483818514176,"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."}}