{"id":"W7087795525","doi":"10.48580/dgtp3","title":"Catalogue of Life","year":2025,"lang":"en","type":"dataset","venue":"The Catalogue of Life","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Agriculture and Agri-Food Canada","funders":"","keywords":"Identification (biology); Natural (archaeology); Exposition (narrative); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021949,0.0003599005,0.001315887,0.0002106817,0.00006009507,0.000007022484,0.0005529904,0.0003452804,0.00008355272],"category_scores_gemma":[0.0007665327,0.0002392224,0.0002862688,0.0002972554,0.0003149325,0.00003562382,0.000239392,0.0003959315,0.00005765914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935424,"about_ca_system_score_gemma":0.001001171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0059203,"about_ca_topic_score_gemma":0.0007141957,"domain_scores_codex":[0.998229,0.00006318612,0.0006859325,0.0003354139,0.0003984266,0.0002880688],"domain_scores_gemma":[0.9974198,0.0002520742,0.0004894573,0.001510634,0.0001396126,0.0001884106],"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":[0.0002628168,0.0004679334,0.0001541117,0.001229805,0.000889116,0.00008789818,0.0000435138,0.000002045249,0.00001237966,0.00002246665,0.9966991,0.0001288119],"study_design_scores_gemma":[0.002735484,0.0003320234,0.0009035658,0.0006472694,0.001356187,0.00004387489,0.00009472488,0.00000260756,0.0002537861,0.00009459471,0.9932859,0.0002499658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008318985,0.004113257,0.000002229528,0.0009298562,0.0003203037,0.0005676233,0.9855046,0.00001772767,0.0002254676],"genre_scores_gemma":[0.01297794,0.001252324,0.00002236537,0.0009816772,0.0001198233,0.00003411057,0.9841917,0.00001597909,0.0004040826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005206105,"threshold_uncertainty_score":0.9755207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700809131298248,"score_gpt":0.2692731375552044,"score_spread":0.252265046242222,"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."}}