{"id":"W4399569250","doi":"10.32614/cran.package.pbsmapping","title":"PBSmapping: Mapping Fisheries Data and Spatial Analysis Tools","year":2012,"lang":"en","type":"dataset","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Computer science; Geography; Environmental science; Biology","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":[0.002262221,0.001738909,0.001240196,0.004996392,0.0009341674,0.001580578,0.003470798,0.0006128355,0.06912468],"category_scores_gemma":[0.006612726,0.00124489,0.00112235,0.008915036,0.0003801876,0.001306828,0.002809262,0.001787787,0.0605467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511172,"about_ca_system_score_gemma":0.004660287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05173107,"about_ca_topic_score_gemma":0.0850379,"domain_scores_codex":[0.9988507,0.0001826208,0.0001551521,0.0003011232,0.000324225,0.0001861438],"domain_scores_gemma":[0.9978739,0.0004229046,0.0001802897,0.0005697543,0.0007516211,0.0002015203],"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":[0.00004237778,0.00001747317,0.001533207,0.000306555,0.00003337537,0.00002564745,0.000100005,0.0005949651,0.0003704908,0.0009520386,0.9839891,0.01203475],"study_design_scores_gemma":[0.0001400506,0.00001099775,0.008651581,0.0001452883,0.0000359913,0.00007191442,0.0001339252,0.001648145,0.001543021,0.002455926,0.9851011,0.00006205125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005093069,0.00003094771,0.002255502,0.00006814789,0.00002621256,0.00006272817,0.9924884,0.003074439,0.001484358],"genre_scores_gemma":[0.001188188,0.0000538856,0.008443613,0.00003845595,0.000007061885,0.0006126399,0.9868987,0.001160151,0.00159737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06912468,"threshold_uncertainty_score":0.2312451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07884684753092044,"score_gpt":0.2846105028910628,"score_spread":0.2057636553601424,"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."}}