{"id":"W4226299461","doi":"10.22441/indikator.v6i1.8344","title":"ANALYSIS OF PURCHASE DECISION MODEL TOWARDS AIRLINES TICKET BOOKING IN TRAVELOKA (MERCU BUANA UNIVERCITY CASE STUDY)","year":2022,"lang":"en","type":"article","venue":"Indikator Jurnal Ilmiah Manajemen dan Bisnis","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Ticket; Brand image; Advertising; Service quality; Quality (philosophy); Quarter (Canadian coin); Service (business); Marketing; Computer science; Geography; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001677972,0.0003640655,0.0006759875,0.002743733,0.0005644365,0.0001635025,0.0007026834,0.00007101348,0.0001741076],"category_scores_gemma":[0.0001221481,0.0003868468,0.0003112051,0.003536761,0.00009128448,0.0006979769,0.0008962429,0.0004975249,0.000002539946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448225,"about_ca_system_score_gemma":0.0001343917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007790482,"about_ca_topic_score_gemma":0.003667874,"domain_scores_codex":[0.9968342,0.00009406541,0.0009711672,0.0006412679,0.0009576817,0.000501602],"domain_scores_gemma":[0.9984937,0.00009187749,0.0005595017,0.0005888209,0.0002130008,0.00005311262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000307194,0.001066173,0.8422503,0.00006533326,0.0004785935,0.004747815,0.00151662,0.04619006,0.0002474551,0.0001928802,0.0001239884,0.1028136],"study_design_scores_gemma":[0.00380376,0.0001311033,0.6304153,0.0001011419,0.005014305,0.0001863323,0.02534893,0.3281688,0.0000587653,0.0001509921,0.005306377,0.001314196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976829,0.00007895946,0.0006460171,0.00007928083,0.0002014261,0.0005174276,0.00003601826,0.00007287506,0.0006851137],"genre_scores_gemma":[0.9992645,0.00001131018,0.0001560204,0.0002609257,0.00007321218,0.00005858989,0.00003243251,0.0000413684,0.000101608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2819788,"threshold_uncertainty_score":0.9998583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434636043366764,"score_gpt":0.285778156689191,"score_spread":0.2514317962555234,"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."}}