{"id":"W7095180352","doi":"","title":"Cruise No. DE 01-07 Marine Mammal Survey Calibration Study CRUISE PERIOD AND AREA","year":2001,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Transect; Nova scotia; Period (music); Calibration; Abundance (ecology)","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":[0.0005802294,0.0003635242,0.0002081977,0.0009165835,0.0004197891,0.0002553305,0.0005502968,0.0003186305,0.01349936],"category_scores_gemma":[0.001395142,0.0001878289,0.0001807933,0.0006827052,0.0001248423,0.0002184977,0.000417808,0.0003825983,0.01109268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009673075,"about_ca_system_score_gemma":0.001301816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1725712,"about_ca_topic_score_gemma":0.3555849,"domain_scores_codex":[0.9996877,0.00004976242,0.00001443665,0.00008061616,0.0001212741,0.00004627914],"domain_scores_gemma":[0.9990954,0.00005809847,0.00008843056,0.0001442547,0.0005290215,0.00008482009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001031262,0.0004078856,0.2379468,0.0002619356,0.00009123152,0.0002705989,0.0005139429,0.004030027,0.008043618,0.00105654,0.6626579,0.08368825],"study_design_scores_gemma":[0.0000591803,0.0001836308,0.8543946,0.00003893986,0.0000139504,0.00006116975,0.0001778925,0.0008505706,0.0012091,0.00009111554,0.1429053,0.0000145365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2614766,0.0005102971,0.007102062,0.0008469811,0.0004457605,0.003708409,0.5657109,0.001188663,0.1590104],"genre_scores_gemma":[0.2727228,0.0005435428,0.008936028,0.0006849765,0.0001270614,0.002563528,0.5878522,0.0003253901,0.1262446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1725712,"threshold_uncertainty_score":0.3431334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06096595399622102,"score_gpt":0.2239022440320129,"score_spread":0.1629362900357919,"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."}}