{"id":"W6888899799","doi":"10.22008/fk2/cs5lka/wb2bkp","title":"c50z10_1.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009288415,0.002416782,0.001864304,0.004394971,0.0009697695,0.002998128,0.00382939,0.002641785,0.2855076],"category_scores_gemma":[0.006089447,0.001221971,0.00136465,0.01000858,0.0005589965,0.001543557,0.002044956,0.00181552,0.2712087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828242,"about_ca_system_score_gemma":0.003563804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08718011,"about_ca_topic_score_gemma":0.1109812,"domain_scores_codex":[0.9990093,0.0001380542,0.00009238927,0.0003348922,0.0002032547,0.0002221255],"domain_scores_gemma":[0.9975333,0.0008289976,0.0001657462,0.0005350979,0.000708761,0.0002281121],"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":[0.00002822412,0.000006192364,0.0002024218,0.0003350079,0.00001517974,0.000006778926,0.00001093989,0.0002151954,0.00003533851,0.0003034373,0.9981685,0.0006727963],"study_design_scores_gemma":[0.0002594116,0.00001040221,0.001953765,0.0002153903,0.00002683935,0.00002305789,0.00005936544,0.0003485797,0.0002010469,0.001067518,0.9958041,0.0000305707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002402968,0.00001366983,0.00002029464,0.00001879989,0.000008452653,0.000002743539,0.9993891,0.0001611224,0.0003618071],"genre_scores_gemma":[0.0001836475,0.00002529927,0.0001192298,0.00002566111,0.000004060523,0.00003293686,0.9988668,0.0001390993,0.0006032491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7144924,"threshold_uncertainty_score":0.9551181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}