{"id":"W6955400748","doi":"10.57907/mirri/vvj3tl","title":"MIRRI0068706","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Natural (archaeology)","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":[0.001711316,0.003534714,0.002428504,0.00642962,0.001710555,0.004534833,0.004058337,0.003991643,0.2785576],"category_scores_gemma":[0.009581842,0.001216619,0.001827474,0.009324449,0.0008825079,0.00175536,0.003199092,0.002104439,0.3632098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809891,"about_ca_system_score_gemma":0.004931359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03217364,"about_ca_topic_score_gemma":0.05552468,"domain_scores_codex":[0.9982685,0.0002453531,0.0001480362,0.0006281213,0.000389578,0.0003203379],"domain_scores_gemma":[0.9961005,0.0009770987,0.0003849419,0.0009189586,0.0009832076,0.0006352686],"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":[0.00006492151,0.00001729974,0.0005812945,0.0006308539,0.0000265471,0.00001118849,0.0000267764,0.0001224247,0.0001111748,0.0002479792,0.9969687,0.001190881],"study_design_scores_gemma":[0.0005350329,0.00003663817,0.003866613,0.0003512685,0.00007119271,0.00004230424,0.00009808548,0.0002416556,0.0002714829,0.0009993715,0.9934454,0.00004104619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004681955,0.00004358181,0.00002762351,0.00003196847,0.00002143531,0.000007670041,0.9991832,0.000196041,0.0004415415],"genre_scores_gemma":[0.0001817131,0.00004555268,0.0001928034,0.0000630878,0.00001103145,0.00005999528,0.9983594,0.0000997087,0.0009866912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7214424,"threshold_uncertainty_score":0.931868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725646467252881,"score_gpt":0.2953650190520907,"score_spread":0.2781085543795619,"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."}}