{"id":"W4392609580","doi":"10.33137/ijournal.v8i2.41030","title":"Cupid’s Digital Arrows","year":2023,"lang":"en","type":"article","venue":"The iJournal Student Journal of the Faculty of Information","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003114303,0.0008651526,0.0004139231,0.002939467,0.006702552,0.01515424,0.001445324,0.003874695,0.1411021],"category_scores_gemma":[0.01871514,0.000513693,0.0005366842,0.002448612,0.004395294,0.01182462,0.007009166,0.004158178,0.0367493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003452132,"about_ca_system_score_gemma":0.003485383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008859694,"about_ca_topic_score_gemma":0.01240892,"domain_scores_codex":[0.9975961,0.0006817012,0.00008903469,0.0003854836,0.0009764072,0.0002712422],"domain_scores_gemma":[0.9941342,0.001907386,0.0002390521,0.001499421,0.001469754,0.0007501935],"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":[0.00008700053,0.00001895652,0.0003090265,0.00009034132,0.000005645072,0.0001459609,0.001332819,0.0002472178,0.0002073334,0.6141585,0.2943456,0.0890517],"study_design_scores_gemma":[0.000006388908,0.000006513197,0.00008095233,0.00006632319,0.000003216956,0.00008874516,0.0002921016,0.0002549489,0.0002216063,0.02053485,0.9784321,0.00001232094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003631805,0.002116814,0.0214147,0.03186198,0.005162252,0.0001225056,0.0008532528,0.002239006,0.9325976],"genre_scores_gemma":[0.1030122,0.003836705,0.03928825,0.01259459,0.001785544,0.0003024347,0.0009661335,0.001973662,0.8362405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1411021,"threshold_uncertainty_score":0.4720337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003074124726924,"score_gpt":0.3007850136946853,"score_spread":0.2807542724474161,"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."}}