{"id":"W1768844086","doi":"10.3968/j.css.1923669720060202.003","title":"Operation Flow Reconstruction of Travel Agency","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Humanities; Political science; Promotion (chess); Sociology; Art; Law; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001047397,0.00003340493,0.0000433539,0.00009611897,0.0001477117,0.00002440225,0.00008119232,0.00003115159,0.00005399911],"category_scores_gemma":[0.00001879582,0.00003839281,0.00001267461,0.0003770629,0.00007308469,0.0001403964,8.909049e-7,0.00003645535,0.000006112617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309693,"about_ca_system_score_gemma":0.0001459368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002556808,"about_ca_topic_score_gemma":0.0003701594,"domain_scores_codex":[0.999642,0.00000356245,0.00007446264,0.00006615216,0.00008359018,0.0001302849],"domain_scores_gemma":[0.9997979,0.000001794121,0.000008954737,0.00003853584,0.00004842269,0.0001044223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.299954e-7,0.000004011657,0.0002247616,0.000004351982,0.000002609205,0.000001414423,0.002402032,0.02430475,0.00835006,0.008465697,0.0001710926,0.9560686],"study_design_scores_gemma":[0.0001742463,0.00002498655,0.0223484,0.00001223737,0.000005596411,0.000006902818,0.0009047674,0.9647602,0.01065532,0.0007060518,0.0001724311,0.000228802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3210652,0.0001648864,0.09604404,0.0005684596,0.002884487,0.0002818487,0.0000432151,0.0002194879,0.5787283],"genre_scores_gemma":[0.9867136,0.000005509529,0.0131164,0.00005714831,0.00007754513,6.447541e-7,0.000001750536,0.000002239077,0.00002516276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9558398,"threshold_uncertainty_score":0.1565613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009996231092811019,"score_gpt":0.2156855438001841,"score_spread":0.2056893127073731,"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."}}