{"id":"W6927059169","doi":"10.25625/rzz9vm/m8myzb","title":"2022-12-RZZ9VM_CANADIAN_SHIELD_CENOZOIC.csv","year":2022,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006360412,0.001795617,0.001523545,0.005509697,0.00167486,0.003846198,0.002763141,0.001647444,0.2885572],"category_scores_gemma":[0.004905347,0.0009468181,0.0008823465,0.0134694,0.0005269651,0.001486807,0.002350402,0.001686373,0.2201677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004768526,"about_ca_system_score_gemma":0.009109861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5300238,"about_ca_topic_score_gemma":0.6822457,"domain_scores_codex":[0.9993487,0.00005110344,0.00003825781,0.0001634806,0.0001732121,0.0002252874],"domain_scores_gemma":[0.9977031,0.0004112023,0.0001544084,0.0004326329,0.0009436027,0.0003550111],"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":[0.00001597209,0.000002829618,0.0002204792,0.0001961336,0.000007215498,0.000005940925,0.0000159646,0.00007426635,0.00002253385,0.0004641124,0.9981687,0.0008058696],"study_design_scores_gemma":[0.0000671652,0.00000221703,0.001817774,0.000173049,0.000007585681,0.000008741138,0.00006548137,0.00006655608,0.00007002329,0.0004690828,0.9972385,0.00001375234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002595042,0.00003336284,0.00001139304,0.00003487837,0.00001184054,0.000002410977,0.9986406,0.0001078393,0.001131707],"genre_scores_gemma":[0.0002825372,0.0000640687,0.0000967593,0.00003778543,0.000005727173,0.00002492769,0.997108,0.0001293519,0.002250788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4699762,"threshold_uncertainty_score":0.96532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501566857878507,"score_gpt":0.4345240551776932,"score_spread":0.2843673693898425,"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."}}