{"id":"W6931490343","doi":"10.5281/zenodo.7888727","title":"Rosa blanda Aiton","year":2014,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Context (archaeology); Identification (biology); Constraint (computer-aided design); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009197977,0.0009347369,0.0007855896,0.001570047,0.00132629,0.001644853,0.00101055,0.001395084,0.4015437],"category_scores_gemma":[0.001748186,0.0002876691,0.0004839168,0.0008102348,0.0005253507,0.0006405129,0.001338673,0.002640111,0.1984595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092671,"about_ca_system_score_gemma":0.001238407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02844176,"about_ca_topic_score_gemma":0.03808765,"domain_scores_codex":[0.9992768,0.00006262474,0.00002405128,0.0002874089,0.0002609705,0.0000880744],"domain_scores_gemma":[0.9985746,0.0001249318,0.0001571751,0.0001432123,0.0006525457,0.0003475701],"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":[0.0002575438,0.00002772467,0.001098461,0.0002075631,0.0000435222,0.0005438979,0.00008087015,0.0001129614,0.003612082,0.01232934,0.858625,0.123061],"study_design_scores_gemma":[0.00000992116,0.000005076935,0.001219815,0.00008352013,0.000005317174,0.0002161279,0.00002574787,0.00002417119,0.0002229235,0.000565057,0.9976139,0.000008278529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003937581,0.03723317,0.004663875,0.05545062,0.03373244,0.0001466432,0.01300858,0.003629342,0.8481978],"genre_scores_gemma":[0.016985,0.01397551,0.006380508,0.005331378,0.00339564,0.0001146708,0.006181002,0.00148007,0.9461561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4015437,"threshold_uncertainty_score":0.8536253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836153691595203,"score_gpt":0.2542747300085973,"score_spread":0.2259131930926453,"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."}}