{"id":"W4393794341","doi":"10.5281/zenodo.10368322","title":"Ann Magill Halpenny","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002473891,0.001208998,0.001060274,0.005133315,0.001142003,0.004252323,0.001550151,0.0007356994,0.2077125],"category_scores_gemma":[0.01734137,0.0005243796,0.0005361711,0.005548283,0.0003787545,0.00363754,0.003438009,0.00173619,0.3108106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008523997,"about_ca_system_score_gemma":0.001451072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180041,"about_ca_topic_score_gemma":0.02830433,"domain_scores_codex":[0.998047,0.0003799153,0.0001206627,0.0006374856,0.0006408816,0.000174033],"domain_scores_gemma":[0.9943347,0.001785854,0.0002615676,0.001365344,0.001561482,0.0006910842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007727446,0.0000026369,0.000270756,0.00004633869,0.000003183079,0.000004558689,0.00001279763,0.00003052346,0.00001875794,0.0002546007,0.9911699,0.008178278],"study_design_scores_gemma":[0.000004608992,0.000001530858,0.0006297808,0.00009374699,0.000001761157,0.00001420906,0.00004956338,0.00009000517,0.00003725706,0.0004477762,0.9986248,0.000005044446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001084208,0.003622365,0.002442078,0.008787706,0.002721665,0.0000950605,0.9342569,0.005306591,0.04168341],"genre_scores_gemma":[0.003868879,0.003211165,0.00343102,0.003015838,0.0003941599,0.000392011,0.9069934,0.002218792,0.07647469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7922875,"threshold_uncertainty_score":0.6948676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4225836816076196,"score_gpt":0.5232882311281245,"score_spread":0.1007045495205049,"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."}}