{"id":"W6930407951","doi":"10.5281/zenodo.10844091","title":"\"Our Neighborhoods: Through the Voices and Eyes of Children\"","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Scope (computer science); Theme (computing); Narrative","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578553,0.0002815526,0.0001752138,0.0005224783,0.004331551,0.003793491,0.0005359818,0.001584568,0.02204355],"category_scores_gemma":[0.001522636,0.0001652516,0.0001043877,0.0007595443,0.00194143,0.001627858,0.002498702,0.001543252,0.003479872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865558,"about_ca_system_score_gemma":0.002089512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02985119,"about_ca_topic_score_gemma":0.1118988,"domain_scores_codex":[0.9993969,0.0003080367,0.00001350908,0.00005041853,0.000135517,0.00009566735],"domain_scores_gemma":[0.9994443,0.0001601344,0.00006548929,0.00004220881,0.00007061402,0.0002171616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001325048,0.0000432744,0.00217433,0.0002700792,0.000005692603,0.0005087382,0.06588531,0.0000752613,0.0008592919,0.05753793,0.7768266,0.09568101],"study_design_scores_gemma":[0.000006450372,0.00001049765,0.003963774,0.0001680363,0.000002158363,0.0001561704,0.01992238,0.0000130527,0.0002258872,0.001101805,0.9744229,0.000006889974],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05377032,0.02044742,0.001098565,0.05343975,0.004348488,0.00008944386,0.003254392,0.0003631674,0.8631884],"genre_scores_gemma":[0.2894574,0.008957381,0.001900212,0.00425305,0.0009698673,0.000199591,0.00129308,0.0004678566,0.6925017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02985119,"threshold_uncertainty_score":0.07374305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407720733173563,"score_gpt":0.2906104783822751,"score_spread":0.2498384050649188,"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."}}