{"id":"W6946060924","doi":"10.26181/22214707","title":"Interpretation and Personalisation: Enriching Individual Experience by Annotating On-line Materials","year":2023,"lang":"en","type":"other","venue":"La Trobe University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Semantics (computer science); Visualization; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005622067,0.0007178913,0.0003918925,0.004026515,0.001523326,0.00698232,0.001151775,0.001751729,0.02042112],"category_scores_gemma":[0.02263706,0.0004002542,0.000458432,0.004504209,0.002042391,0.01221324,0.00717339,0.001055202,0.008253734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007553984,"about_ca_system_score_gemma":0.001019762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002118109,"about_ca_topic_score_gemma":0.006743734,"domain_scores_codex":[0.9961145,0.002232525,0.0002082553,0.0004357413,0.0008911951,0.0001177684],"domain_scores_gemma":[0.9799431,0.01300335,0.0007249103,0.003872415,0.002025305,0.0004310238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000561487,0.0001861541,0.008827675,0.001772624,0.00007043612,0.001867315,0.1873152,0.001102438,0.01361115,0.02585194,0.1375408,0.6212927],"study_design_scores_gemma":[0.00002785295,0.00008264236,0.008001006,0.00123351,0.00008960569,0.001327881,0.03795367,0.005289425,0.007963443,0.03556739,0.9023033,0.0001603282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.159079,0.004499294,0.4070702,0.008476827,0.001599781,0.0005724508,0.01170828,0.01225862,0.3947355],"genre_scores_gemma":[0.5288344,0.003501502,0.3396071,0.001827126,0.0006093261,0.0004796708,0.013366,0.01058007,0.1011948],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02042112,"threshold_uncertainty_score":0.06831545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021901143632731,"score_gpt":0.2534878070194305,"score_spread":0.2315866633866995,"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."}}