{"id":"W6931376771","doi":"10.5281/zenodo.5014246","title":"CINECA synthetic cohort NA Canada CHILD [CC-BY-NC-SA]","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Circumstantial evidence; Identification (biology); Term (time); Selection (genetic algorithm)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002279634,0.0002132308,0.0001944487,0.0001151564,0.0009016944,0.0003851729,0.0008702219,0.00008134682,0.1489141],"category_scores_gemma":[0.0001144535,0.0002171434,0.00003619749,0.000228284,0.00009577943,0.00006146292,0.0003426772,0.000267676,0.004838564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006172573,"about_ca_system_score_gemma":0.000007658311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1289101,"about_ca_topic_score_gemma":0.006865013,"domain_scores_codex":[0.9981508,0.0001897731,0.0001793892,0.0005585519,0.0005544439,0.0003670152],"domain_scores_gemma":[0.9990551,0.00001740672,0.0001066804,0.000580282,0.00002763145,0.0002128244],"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":[0.00000535126,0.00005730957,0.000264799,0.00009289549,0.00007468784,0.00004459044,0.00001728625,0.00002015534,0.000005665819,0.00002698537,0.9707907,0.02859958],"study_design_scores_gemma":[0.0002524474,0.00005111755,0.005636347,0.0001311095,0.00002484203,0.00003599063,0.00007033206,0.00004908429,0.00001632052,0.000001859135,0.9934889,0.0002416214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003028037,0.001343172,0.00009607663,0.0003403015,0.0004423292,0.0003360632,0.002836628,0.0003204755,0.9939821],"genre_scores_gemma":[0.2417816,0.003672513,0.0002597091,0.0007025385,0.001014385,6.485543e-8,0.1071165,0.004920438,0.6405322],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3534499,"threshold_uncertainty_score":0.9959363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101267621644638,"score_gpt":0.1786111360909106,"score_spread":0.1675984598744642,"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."}}