{"id":"W4362514980","doi":"10.21203/rs.3.rs-2753890/v1","title":"Ascophyllum nodosum Le Jolis Harvesting Impacts and Management Options Using GPS Tracking of Mechanical Harvesters in Nova Scotia, Canada","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Ascophyllum; Global Positioning System; Environmental science; Geography; Forestry; Biomass (ecology); Scale (ratio); Environmental resource management; Cartography; Oceanography; Engineering; Geology; Archaeology; Ecology; Telecommunications","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":[0.0003368914,0.0002233316,0.0002014958,0.0008251065,0.001307837,0.0008607132,0.0006124472,0.0001666213,0.001433474],"category_scores_gemma":[0.0007114524,0.0001533163,0.0001527168,0.001952374,0.0005041951,0.0001784381,0.000438244,0.0002157881,0.0002106861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01623089,"about_ca_system_score_gemma":0.01360338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956059,"about_ca_topic_score_gemma":0.9989614,"domain_scores_codex":[0.9997118,0.00002268164,0.00001031134,0.00005291403,0.00007707482,0.0001251545],"domain_scores_gemma":[0.9991709,0.00007714413,0.0001287424,0.00002493186,0.0003977568,0.0002005859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002898536,0.00007896929,0.9726628,0.0000736718,0.00005236383,0.0004545381,0.001813891,0.001218308,0.00328472,0.0002058675,0.001681795,0.01818326],"study_design_scores_gemma":[0.000006072865,0.00002846011,0.9950671,0.00002216087,0.000008778499,0.00003487564,0.002561551,0.000665788,0.0001607001,0.00001642961,0.00141931,0.000008777009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957967,0.0001649726,0.00008535738,0.00007001387,0.000003648024,0.00003132397,0.001253909,0.000005945137,0.002588246],"genre_scores_gemma":[0.9960038,0.0001875272,0.0002733737,0.00003304088,9.890398e-7,0.0000106861,0.0008656491,0.000003297218,0.002621791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623089,"threshold_uncertainty_score":0.1177639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122622295622712,"score_gpt":0.3383134519786917,"score_spread":0.2156911563559797,"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."}}