{"meta":{"query_hash":"1860f45809e9","filters":{"venue":"Memory Mind & Media"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1860f45809e9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Memory+Mind+%26+Media"},"results":[{"id":"W4392554246","doi":"10.1017/mem.2024.4","title":"Between automated memory and history: blocking ‘sensitive locations’ from Apple Memories","year":2024,"lang":"en","type":"article","venue":"Memory Mind & Media","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blocking (statistics); Computer science; Computer network","score_opus":0.03001506635613083,"score_gpt":0.230337023245698,"score_spread":0.20032195688956717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392554246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97190374,0.009179225,0.000022902748,0.001159988,0.0026422017,0.00021530878,0.0003519908,0.00087516493,0.013649489],"genre_scores_gemma":[0.99408,0.00007508091,0.00029499462,0.00015167371,0.0015893592,0.000026656035,0.00025708263,0.000040481333,0.0034846738],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988267,0.000040132138,0.00025858858,0.00040556843,0.0002104441,0.00025860156],"domain_scores_gemma":[0.9990358,0.00047969515,0.000061227736,0.00025692122,0.00008064567,0.000085705324],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020792888,0.00021839455,0.00028887374,0.000119128104,0.00023033707,0.00012900449,0.00014162454,0.00015653335,0.0015547456],"category_scores_gemma":[0.00006080981,0.00020435727,0.00007830055,0.000054194334,0.001000615,0.00012721636,0.000097308126,0.00033441314,0.0001864989],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010377602,0.00006407188,0.0004865152,0.00010773527,0.0006073358,0.00015988998,0.6391698,0.0000027594108,0.0006905204,0.014997953,0.26613474,0.07756829],"study_design_scores_gemma":[0.0004362488,0.000050784034,0.0013215324,0.00016872406,0.00043658767,0.000010371091,0.057241213,0.0021987027,0.007183681,0.003771603,0.9266007,0.00057986745],"about_ca_topic_score_codex":0.0004856302,"about_ca_topic_score_gemma":0.00077947264,"teacher_disagreement_score":0.66046596,"about_ca_system_score_codex":0.00014027124,"about_ca_system_score_gemma":0.00009621155,"threshold_uncertainty_score":0.999358},"labels":[],"label_agreement":null}]}