{"id":"W7050217783","doi":"","title":"Coral Detail","year":2021,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nephew and niece; Coral; Tourism; Documentation; Politics; Sculpture; Nomination","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":[],"consensus_categories":[],"category_scores_codex":[0.00006603306,0.0001123331,0.0001945779,0.0001142529,0.0001194346,0.00005159444,0.0003300649,0.00009684936,0.0005744791],"category_scores_gemma":[0.00003170268,0.0001613914,0.00009100371,0.000342807,0.00007503173,0.0005093105,0.000127369,0.0003845197,0.00006157221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000373383,"about_ca_system_score_gemma":0.00003615634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431497,"about_ca_topic_score_gemma":0.005655663,"domain_scores_codex":[0.9993374,0.0000472727,0.0001038678,0.0001505412,0.0001758472,0.0001850451],"domain_scores_gemma":[0.9992203,0.00005488532,0.00002978043,0.0004434303,0.0001525052,0.00009915901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000744411,0.0003925007,0.7944735,0.0004437068,0.0006406384,0.00212577,0.002720047,0.001452587,0.01152176,0.008159723,0.0768218,0.1011735],"study_design_scores_gemma":[0.0006392182,0.0001090216,0.8469509,0.00004943771,0.0001299188,0.0000346099,0.0003454873,0.003086541,0.002330683,0.0004203535,0.1454283,0.0004754652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595866,0.000394747,0.004651276,0.0002393629,0.00009537806,0.00007097441,0.00002946001,0.000329642,0.03460263],"genre_scores_gemma":[0.9860747,0.0001041462,0.01207839,0.00003216173,0.00001370067,1.266625e-7,0.00002647321,0.00001413314,0.001656198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100698,"threshold_uncertainty_score":0.658135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366339930347626,"score_gpt":0.1870515586333236,"score_spread":0.1733881593298473,"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."}}